Instructions to use texturejc/texture-frames-frame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use texturejc/texture-frames-frame with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="texturejc/texture-frames-frame")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("texturejc/texture-frames-frame", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- checkpoint-6440/model.safetensors +3 -0
- checkpoint-6440/optimizer.pt +3 -0
- checkpoint-6440/rng_state.pth +3 -0
- checkpoint-6440/scheduler.pt +3 -0
- checkpoint-6440/trainer_state.json +975 -0
- checkpoint-6440/training_args.bin +3 -0
- frame2_model.pt +3 -0
- frame2id.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +23 -0
checkpoint-6440/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5e1fb06effa3e083fe2a19cd5d1f785d29749d6b4039d87028728634ff2ab84
|
| 3 |
+
size 1749099756
|
checkpoint-6440/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:20c2e805f3dd16a00054e87fec4f666262363ff1eff61f37699c6ca56af373c4
|
| 3 |
+
size 3498435905
|
checkpoint-6440/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b87807198463d30a7e8e7df7649c0bf956339a84c2ad65d1450fa4f0145975ee
|
| 3 |
+
size 14645
|
checkpoint-6440/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52efdb72a390ba9eb971747212b8e3830d9a27a6caf97f048e884ef95171d007
|
| 3 |
+
size 1465
|
checkpoint-6440/trainer_state.json
ADDED
|
@@ -0,0 +1,975 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 6440,
|
| 3 |
+
"best_metric": 0.836709384042993,
|
| 4 |
+
"best_model_checkpoint": "/content/outputs/frame2/checkpoint-6440",
|
| 5 |
+
"epoch": 5.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 6440,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.03881987577639751,
|
| 14 |
+
"grad_norm": 6.954199314117432,
|
| 15 |
+
"learning_rate": 1.2661498708010337e-06,
|
| 16 |
+
"loss": 7.1416796875,
|
| 17 |
+
"step": 50
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.07763975155279502,
|
| 21 |
+
"grad_norm": 6.37876033782959,
|
| 22 |
+
"learning_rate": 2.558139534883721e-06,
|
| 23 |
+
"loss": 7.1059375,
|
| 24 |
+
"step": 100
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.11645962732919254,
|
| 28 |
+
"grad_norm": 6.456676006317139,
|
| 29 |
+
"learning_rate": 3.850129198966409e-06,
|
| 30 |
+
"loss": 7.01484375,
|
| 31 |
+
"step": 150
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.15527950310559005,
|
| 35 |
+
"grad_norm": 7.245243549346924,
|
| 36 |
+
"learning_rate": 5.1421188630490955e-06,
|
| 37 |
+
"loss": 6.883046875,
|
| 38 |
+
"step": 200
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.19409937888198758,
|
| 42 |
+
"grad_norm": 7.722668647766113,
|
| 43 |
+
"learning_rate": 6.434108527131784e-06,
|
| 44 |
+
"loss": 6.7165234375,
|
| 45 |
+
"step": 250
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.2329192546583851,
|
| 49 |
+
"grad_norm": 8.763988494873047,
|
| 50 |
+
"learning_rate": 7.72609819121447e-06,
|
| 51 |
+
"loss": 6.39888671875,
|
| 52 |
+
"step": 300
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.2717391304347826,
|
| 56 |
+
"grad_norm": 9.204142570495605,
|
| 57 |
+
"learning_rate": 9.018087855297158e-06,
|
| 58 |
+
"loss": 6.1780078125,
|
| 59 |
+
"step": 350
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.3105590062111801,
|
| 63 |
+
"grad_norm": 9.30582046508789,
|
| 64 |
+
"learning_rate": 9.980175119775319e-06,
|
| 65 |
+
"loss": 5.985400390625,
|
| 66 |
+
"step": 400
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.34937888198757766,
|
| 70 |
+
"grad_norm": 10.375268936157227,
|
| 71 |
+
"learning_rate": 9.897571452172478e-06,
|
| 72 |
+
"loss": 5.727763671875,
|
| 73 |
+
"step": 450
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.38819875776397517,
|
| 77 |
+
"grad_norm": 10.128670692443848,
|
| 78 |
+
"learning_rate": 9.814967784569636e-06,
|
| 79 |
+
"loss": 5.58036376953125,
|
| 80 |
+
"step": 500
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.42701863354037267,
|
| 84 |
+
"grad_norm": 10.368155479431152,
|
| 85 |
+
"learning_rate": 9.732364116966793e-06,
|
| 86 |
+
"loss": 5.530234375,
|
| 87 |
+
"step": 550
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.4658385093167702,
|
| 91 |
+
"grad_norm": 10.306320190429688,
|
| 92 |
+
"learning_rate": 9.649760449363953e-06,
|
| 93 |
+
"loss": 5.449205322265625,
|
| 94 |
+
"step": 600
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.5046583850931677,
|
| 98 |
+
"grad_norm": 10.807398796081543,
|
| 99 |
+
"learning_rate": 9.56715678176111e-06,
|
| 100 |
+
"loss": 5.28119140625,
|
| 101 |
+
"step": 650
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.5434782608695652,
|
| 105 |
+
"grad_norm": 10.359151840209961,
|
| 106 |
+
"learning_rate": 9.48455311415827e-06,
|
| 107 |
+
"loss": 5.224617919921875,
|
| 108 |
+
"step": 700
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.5822981366459627,
|
| 112 |
+
"grad_norm": 10.162821769714355,
|
| 113 |
+
"learning_rate": 9.401949446555427e-06,
|
| 114 |
+
"loss": 4.982539672851562,
|
| 115 |
+
"step": 750
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.6211180124223602,
|
| 119 |
+
"grad_norm": 11.337475776672363,
|
| 120 |
+
"learning_rate": 9.319345778952586e-06,
|
| 121 |
+
"loss": 4.874409484863281,
|
| 122 |
+
"step": 800
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.6599378881987578,
|
| 126 |
+
"grad_norm": 11.128438949584961,
|
| 127 |
+
"learning_rate": 9.236742111349744e-06,
|
| 128 |
+
"loss": 4.720284423828125,
|
| 129 |
+
"step": 850
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.6987577639751553,
|
| 133 |
+
"grad_norm": 11.113153457641602,
|
| 134 |
+
"learning_rate": 9.154138443746903e-06,
|
| 135 |
+
"loss": 4.625420837402344,
|
| 136 |
+
"step": 900
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.7375776397515528,
|
| 140 |
+
"grad_norm": 11.993304252624512,
|
| 141 |
+
"learning_rate": 9.071534776144063e-06,
|
| 142 |
+
"loss": 4.4766607666015625,
|
| 143 |
+
"step": 950
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.7763975155279503,
|
| 147 |
+
"grad_norm": 11.786646842956543,
|
| 148 |
+
"learning_rate": 8.98893110854122e-06,
|
| 149 |
+
"loss": 4.373000793457031,
|
| 150 |
+
"step": 1000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.8152173913043478,
|
| 154 |
+
"grad_norm": 11.01918888092041,
|
| 155 |
+
"learning_rate": 8.906327440938378e-06,
|
| 156 |
+
"loss": 4.122265625,
|
| 157 |
+
"step": 1050
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.8540372670807453,
|
| 161 |
+
"grad_norm": 14.887975692749023,
|
| 162 |
+
"learning_rate": 8.823723773335536e-06,
|
| 163 |
+
"loss": 4.2356741333007815,
|
| 164 |
+
"step": 1100
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.8928571428571429,
|
| 168 |
+
"grad_norm": 11.712749481201172,
|
| 169 |
+
"learning_rate": 8.741120105732695e-06,
|
| 170 |
+
"loss": 4.030892333984375,
|
| 171 |
+
"step": 1150
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.9316770186335404,
|
| 175 |
+
"grad_norm": 11.420888900756836,
|
| 176 |
+
"learning_rate": 8.658516438129854e-06,
|
| 177 |
+
"loss": 3.809114685058594,
|
| 178 |
+
"step": 1200
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.9704968944099379,
|
| 182 |
+
"grad_norm": 11.520773887634277,
|
| 183 |
+
"learning_rate": 8.575912770527012e-06,
|
| 184 |
+
"loss": 3.6759454345703126,
|
| 185 |
+
"step": 1250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 1.0,
|
| 189 |
+
"eval_accuracy": 0.5010334849111203,
|
| 190 |
+
"eval_loss": 3.0984573364257812,
|
| 191 |
+
"eval_runtime": 9.2642,
|
| 192 |
+
"eval_samples_per_second": 261.114,
|
| 193 |
+
"eval_steps_per_second": 16.407,
|
| 194 |
+
"step": 1288
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 1.0093167701863355,
|
| 198 |
+
"grad_norm": 12.707167625427246,
|
| 199 |
+
"learning_rate": 8.493309102924171e-06,
|
| 200 |
+
"loss": 3.6287490844726564,
|
| 201 |
+
"step": 1300
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 1.0481366459627328,
|
| 205 |
+
"grad_norm": 11.602799415588379,
|
| 206 |
+
"learning_rate": 8.410705435321329e-06,
|
| 207 |
+
"loss": 3.4154583740234377,
|
| 208 |
+
"step": 1350
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 1.0869565217391304,
|
| 212 |
+
"grad_norm": 10.797930717468262,
|
| 213 |
+
"learning_rate": 8.328101767718486e-06,
|
| 214 |
+
"loss": 3.2645416259765625,
|
| 215 |
+
"step": 1400
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 1.125776397515528,
|
| 219 |
+
"grad_norm": 14.686330795288086,
|
| 220 |
+
"learning_rate": 8.245498100115646e-06,
|
| 221 |
+
"loss": 3.0807373046875,
|
| 222 |
+
"step": 1450
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 1.1645962732919255,
|
| 226 |
+
"grad_norm": 11.849090576171875,
|
| 227 |
+
"learning_rate": 8.162894432512805e-06,
|
| 228 |
+
"loss": 3.089696350097656,
|
| 229 |
+
"step": 1500
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 1.203416149068323,
|
| 233 |
+
"grad_norm": 10.781908988952637,
|
| 234 |
+
"learning_rate": 8.080290764909963e-06,
|
| 235 |
+
"loss": 2.9422247314453127,
|
| 236 |
+
"step": 1550
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 1.2422360248447206,
|
| 240 |
+
"grad_norm": 12.094367980957031,
|
| 241 |
+
"learning_rate": 7.99768709730712e-06,
|
| 242 |
+
"loss": 2.857108154296875,
|
| 243 |
+
"step": 1600
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 1.281055900621118,
|
| 247 |
+
"grad_norm": 13.91542911529541,
|
| 248 |
+
"learning_rate": 7.91508342970428e-06,
|
| 249 |
+
"loss": 2.9898529052734375,
|
| 250 |
+
"step": 1650
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 1.3198757763975155,
|
| 254 |
+
"grad_norm": 11.836753845214844,
|
| 255 |
+
"learning_rate": 7.832479762101437e-06,
|
| 256 |
+
"loss": 2.714930114746094,
|
| 257 |
+
"step": 1700
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 1.358695652173913,
|
| 261 |
+
"grad_norm": 12.638890266418457,
|
| 262 |
+
"learning_rate": 7.749876094498597e-06,
|
| 263 |
+
"loss": 2.671651611328125,
|
| 264 |
+
"step": 1750
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 1.3975155279503104,
|
| 268 |
+
"grad_norm": 13.112387657165527,
|
| 269 |
+
"learning_rate": 7.667272426895754e-06,
|
| 270 |
+
"loss": 2.6401641845703123,
|
| 271 |
+
"step": 1800
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 1.4363354037267082,
|
| 275 |
+
"grad_norm": 12.418985366821289,
|
| 276 |
+
"learning_rate": 7.584668759292914e-06,
|
| 277 |
+
"loss": 2.4186663818359375,
|
| 278 |
+
"step": 1850
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 1.4751552795031055,
|
| 282 |
+
"grad_norm": 10.9830904006958,
|
| 283 |
+
"learning_rate": 7.502065091690072e-06,
|
| 284 |
+
"loss": 2.366060943603516,
|
| 285 |
+
"step": 1900
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 1.513975155279503,
|
| 289 |
+
"grad_norm": 12.341230392456055,
|
| 290 |
+
"learning_rate": 7.41946142408723e-06,
|
| 291 |
+
"loss": 2.284035949707031,
|
| 292 |
+
"step": 1950
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 1.5527950310559007,
|
| 296 |
+
"grad_norm": 8.954991340637207,
|
| 297 |
+
"learning_rate": 7.336857756484389e-06,
|
| 298 |
+
"loss": 2.3693133544921876,
|
| 299 |
+
"step": 2000
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 1.591614906832298,
|
| 303 |
+
"grad_norm": 22.260467529296875,
|
| 304 |
+
"learning_rate": 7.2542540888815475e-06,
|
| 305 |
+
"loss": 2.2734780883789063,
|
| 306 |
+
"step": 2050
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 1.6304347826086958,
|
| 310 |
+
"grad_norm": 13.057415008544922,
|
| 311 |
+
"learning_rate": 7.171650421278705e-06,
|
| 312 |
+
"loss": 2.126544647216797,
|
| 313 |
+
"step": 2100
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 1.6692546583850931,
|
| 317 |
+
"grad_norm": 9.723812103271484,
|
| 318 |
+
"learning_rate": 7.0890467536758636e-06,
|
| 319 |
+
"loss": 2.184694519042969,
|
| 320 |
+
"step": 2150
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 1.7080745341614907,
|
| 324 |
+
"grad_norm": 14.918439865112305,
|
| 325 |
+
"learning_rate": 7.006443086073023e-06,
|
| 326 |
+
"loss": 2.0987617492675783,
|
| 327 |
+
"step": 2200
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 1.7468944099378882,
|
| 331 |
+
"grad_norm": 16.97414207458496,
|
| 332 |
+
"learning_rate": 6.9238394184701805e-06,
|
| 333 |
+
"loss": 2.126544952392578,
|
| 334 |
+
"step": 2250
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 1.7857142857142856,
|
| 338 |
+
"grad_norm": 10.108041763305664,
|
| 339 |
+
"learning_rate": 6.841235750867339e-06,
|
| 340 |
+
"loss": 2.0426617431640626,
|
| 341 |
+
"step": 2300
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 1.8245341614906834,
|
| 345 |
+
"grad_norm": 17.742259979248047,
|
| 346 |
+
"learning_rate": 6.758632083264498e-06,
|
| 347 |
+
"loss": 1.9366094970703125,
|
| 348 |
+
"step": 2350
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 1.8633540372670807,
|
| 352 |
+
"grad_norm": 16.957307815551758,
|
| 353 |
+
"learning_rate": 6.676028415661656e-06,
|
| 354 |
+
"loss": 2.1593305969238283,
|
| 355 |
+
"step": 2400
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 1.9021739130434783,
|
| 359 |
+
"grad_norm": 11.384793281555176,
|
| 360 |
+
"learning_rate": 6.593424748058814e-06,
|
| 361 |
+
"loss": 1.7849739074707032,
|
| 362 |
+
"step": 2450
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 1.9409937888198758,
|
| 366 |
+
"grad_norm": 12.84943962097168,
|
| 367 |
+
"learning_rate": 6.510821080455972e-06,
|
| 368 |
+
"loss": 1.9132063293457031,
|
| 369 |
+
"step": 2500
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 1.9798136645962732,
|
| 373 |
+
"grad_norm": 20.355567932128906,
|
| 374 |
+
"learning_rate": 6.428217412853131e-06,
|
| 375 |
+
"loss": 2.026173553466797,
|
| 376 |
+
"step": 2550
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 2.0,
|
| 380 |
+
"eval_accuracy": 0.7416287722199256,
|
| 381 |
+
"eval_loss": 1.5747343301773071,
|
| 382 |
+
"eval_runtime": 9.2952,
|
| 383 |
+
"eval_samples_per_second": 260.242,
|
| 384 |
+
"eval_steps_per_second": 16.353,
|
| 385 |
+
"step": 2576
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 2.018633540372671,
|
| 389 |
+
"grad_norm": 9.695998191833496,
|
| 390 |
+
"learning_rate": 6.34561374525029e-06,
|
| 391 |
+
"loss": 1.7679312133789062,
|
| 392 |
+
"step": 2600
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 2.0574534161490683,
|
| 396 |
+
"grad_norm": 8.576300621032715,
|
| 397 |
+
"learning_rate": 6.2630100776474475e-06,
|
| 398 |
+
"loss": 1.699483642578125,
|
| 399 |
+
"step": 2650
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 2.0962732919254656,
|
| 403 |
+
"grad_norm": 9.594664573669434,
|
| 404 |
+
"learning_rate": 6.180406410044606e-06,
|
| 405 |
+
"loss": 1.6502584838867187,
|
| 406 |
+
"step": 2700
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 2.1350931677018634,
|
| 410 |
+
"grad_norm": 9.277363777160645,
|
| 411 |
+
"learning_rate": 6.097802742441765e-06,
|
| 412 |
+
"loss": 1.7002778625488282,
|
| 413 |
+
"step": 2750
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 2.1739130434782608,
|
| 417 |
+
"grad_norm": 9.334654808044434,
|
| 418 |
+
"learning_rate": 6.015199074838923e-06,
|
| 419 |
+
"loss": 1.6473841857910156,
|
| 420 |
+
"step": 2800
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 2.2127329192546585,
|
| 424 |
+
"grad_norm": 10.770955085754395,
|
| 425 |
+
"learning_rate": 5.932595407236081e-06,
|
| 426 |
+
"loss": 1.7070599365234376,
|
| 427 |
+
"step": 2850
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"epoch": 2.251552795031056,
|
| 431 |
+
"grad_norm": 9.412900924682617,
|
| 432 |
+
"learning_rate": 5.849991739633241e-06,
|
| 433 |
+
"loss": 1.5200923156738282,
|
| 434 |
+
"step": 2900
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 2.2903726708074537,
|
| 438 |
+
"grad_norm": 8.708724021911621,
|
| 439 |
+
"learning_rate": 5.767388072030399e-06,
|
| 440 |
+
"loss": 1.5532386779785157,
|
| 441 |
+
"step": 2950
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 2.329192546583851,
|
| 445 |
+
"grad_norm": 16.545541763305664,
|
| 446 |
+
"learning_rate": 5.684784404427557e-06,
|
| 447 |
+
"loss": 1.4987814331054687,
|
| 448 |
+
"step": 3000
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 2.3680124223602483,
|
| 452 |
+
"grad_norm": 10.015238761901855,
|
| 453 |
+
"learning_rate": 5.602180736824715e-06,
|
| 454 |
+
"loss": 1.5647314453125,
|
| 455 |
+
"step": 3050
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 2.406832298136646,
|
| 459 |
+
"grad_norm": 12.274828910827637,
|
| 460 |
+
"learning_rate": 5.5195770692218746e-06,
|
| 461 |
+
"loss": 1.4848635864257813,
|
| 462 |
+
"step": 3100
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 2.4456521739130435,
|
| 466 |
+
"grad_norm": 10.715838432312012,
|
| 467 |
+
"learning_rate": 5.436973401619032e-06,
|
| 468 |
+
"loss": 1.4095025634765626,
|
| 469 |
+
"step": 3150
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 2.4844720496894412,
|
| 473 |
+
"grad_norm": 11.896187782287598,
|
| 474 |
+
"learning_rate": 5.354369734016191e-06,
|
| 475 |
+
"loss": 1.3431706237792969,
|
| 476 |
+
"step": 3200
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 2.5232919254658386,
|
| 480 |
+
"grad_norm": 12.155756950378418,
|
| 481 |
+
"learning_rate": 5.27176606641335e-06,
|
| 482 |
+
"loss": 1.3861366271972657,
|
| 483 |
+
"step": 3250
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 2.562111801242236,
|
| 487 |
+
"grad_norm": 8.469603538513184,
|
| 488 |
+
"learning_rate": 5.189162398810508e-06,
|
| 489 |
+
"loss": 1.3476237487792968,
|
| 490 |
+
"step": 3300
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 2.6009316770186337,
|
| 494 |
+
"grad_norm": 8.618110656738281,
|
| 495 |
+
"learning_rate": 5.106558731207666e-06,
|
| 496 |
+
"loss": 1.3636611938476562,
|
| 497 |
+
"step": 3350
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 2.639751552795031,
|
| 501 |
+
"grad_norm": 16.85852813720703,
|
| 502 |
+
"learning_rate": 5.023955063604824e-06,
|
| 503 |
+
"loss": 1.2232911682128906,
|
| 504 |
+
"step": 3400
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 2.678571428571429,
|
| 508 |
+
"grad_norm": 13.419601440429688,
|
| 509 |
+
"learning_rate": 4.941351396001983e-06,
|
| 510 |
+
"loss": 1.280044403076172,
|
| 511 |
+
"step": 3450
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 2.717391304347826,
|
| 515 |
+
"grad_norm": 9.274198532104492,
|
| 516 |
+
"learning_rate": 4.8587477283991415e-06,
|
| 517 |
+
"loss": 1.3282122802734375,
|
| 518 |
+
"step": 3500
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 2.7562111801242235,
|
| 522 |
+
"grad_norm": 10.566126823425293,
|
| 523 |
+
"learning_rate": 4.7761440607963e-06,
|
| 524 |
+
"loss": 1.2765910339355468,
|
| 525 |
+
"step": 3550
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 2.795031055900621,
|
| 529 |
+
"grad_norm": 12.02775764465332,
|
| 530 |
+
"learning_rate": 4.6935403931934584e-06,
|
| 531 |
+
"loss": 1.2579024505615235,
|
| 532 |
+
"step": 3600
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 2.8338509316770186,
|
| 536 |
+
"grad_norm": 6.950809478759766,
|
| 537 |
+
"learning_rate": 4.610936725590617e-06,
|
| 538 |
+
"loss": 1.1432655334472657,
|
| 539 |
+
"step": 3650
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 2.8726708074534164,
|
| 543 |
+
"grad_norm": 9.714532852172852,
|
| 544 |
+
"learning_rate": 4.5283330579877745e-06,
|
| 545 |
+
"loss": 1.243320541381836,
|
| 546 |
+
"step": 3700
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 2.9114906832298137,
|
| 550 |
+
"grad_norm": 8.740928649902344,
|
| 551 |
+
"learning_rate": 4.445729390384934e-06,
|
| 552 |
+
"loss": 1.2830023193359374,
|
| 553 |
+
"step": 3750
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 2.950310559006211,
|
| 557 |
+
"grad_norm": 11.397253036499023,
|
| 558 |
+
"learning_rate": 4.3631257227820915e-06,
|
| 559 |
+
"loss": 1.225728530883789,
|
| 560 |
+
"step": 3800
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 2.9891304347826084,
|
| 564 |
+
"grad_norm": 8.867121696472168,
|
| 565 |
+
"learning_rate": 4.28052205517925e-06,
|
| 566 |
+
"loss": 1.2054911041259766,
|
| 567 |
+
"step": 3850
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 3.0,
|
| 571 |
+
"eval_accuracy": 0.8048780487804879,
|
| 572 |
+
"eval_loss": 1.1265352964401245,
|
| 573 |
+
"eval_runtime": 9.2925,
|
| 574 |
+
"eval_samples_per_second": 260.317,
|
| 575 |
+
"eval_steps_per_second": 16.357,
|
| 576 |
+
"step": 3864
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 3.027950310559006,
|
| 580 |
+
"grad_norm": 15.09593677520752,
|
| 581 |
+
"learning_rate": 4.1979183875764084e-06,
|
| 582 |
+
"loss": 1.0494297790527343,
|
| 583 |
+
"step": 3900
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 3.0667701863354035,
|
| 587 |
+
"grad_norm": 7.0367751121521,
|
| 588 |
+
"learning_rate": 4.115314719973567e-06,
|
| 589 |
+
"loss": 1.195704803466797,
|
| 590 |
+
"step": 3950
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 3.1055900621118013,
|
| 594 |
+
"grad_norm": 6.594099521636963,
|
| 595 |
+
"learning_rate": 4.032711052370726e-06,
|
| 596 |
+
"loss": 1.1527919006347656,
|
| 597 |
+
"step": 4000
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 3.1444099378881987,
|
| 601 |
+
"grad_norm": 11.393077850341797,
|
| 602 |
+
"learning_rate": 3.950107384767884e-06,
|
| 603 |
+
"loss": 1.009382858276367,
|
| 604 |
+
"step": 4050
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 3.1832298136645965,
|
| 608 |
+
"grad_norm": 10.961431503295898,
|
| 609 |
+
"learning_rate": 3.867503717165042e-06,
|
| 610 |
+
"loss": 1.045629119873047,
|
| 611 |
+
"step": 4100
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 3.222049689440994,
|
| 615 |
+
"grad_norm": 7.3205180168151855,
|
| 616 |
+
"learning_rate": 3.784900049562201e-06,
|
| 617 |
+
"loss": 1.0478419494628906,
|
| 618 |
+
"step": 4150
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 3.260869565217391,
|
| 622 |
+
"grad_norm": 8.874663352966309,
|
| 623 |
+
"learning_rate": 3.7022963819593593e-06,
|
| 624 |
+
"loss": 1.0866982269287109,
|
| 625 |
+
"step": 4200
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 3.299689440993789,
|
| 629 |
+
"grad_norm": 7.505184650421143,
|
| 630 |
+
"learning_rate": 3.6196927143565173e-06,
|
| 631 |
+
"loss": 0.9710902404785157,
|
| 632 |
+
"step": 4250
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 3.3385093167701863,
|
| 636 |
+
"grad_norm": 5.981348514556885,
|
| 637 |
+
"learning_rate": 3.537089046753676e-06,
|
| 638 |
+
"loss": 1.0303248596191406,
|
| 639 |
+
"step": 4300
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 3.377329192546584,
|
| 643 |
+
"grad_norm": 9.041892051696777,
|
| 644 |
+
"learning_rate": 3.4544853791508347e-06,
|
| 645 |
+
"loss": 0.9202809143066406,
|
| 646 |
+
"step": 4350
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 3.4161490683229814,
|
| 650 |
+
"grad_norm": 7.664228916168213,
|
| 651 |
+
"learning_rate": 3.3718817115479927e-06,
|
| 652 |
+
"loss": 0.9286480712890625,
|
| 653 |
+
"step": 4400
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 3.4549689440993787,
|
| 657 |
+
"grad_norm": 10.143519401550293,
|
| 658 |
+
"learning_rate": 3.2892780439451516e-06,
|
| 659 |
+
"loss": 1.0028343963623048,
|
| 660 |
+
"step": 4450
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 3.4937888198757765,
|
| 664 |
+
"grad_norm": 13.038041114807129,
|
| 665 |
+
"learning_rate": 3.2066743763423097e-06,
|
| 666 |
+
"loss": 1.0670313262939453,
|
| 667 |
+
"step": 4500
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 3.532608695652174,
|
| 671 |
+
"grad_norm": 9.287400245666504,
|
| 672 |
+
"learning_rate": 3.1240707087394686e-06,
|
| 673 |
+
"loss": 0.8689695739746094,
|
| 674 |
+
"step": 4550
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 3.571428571428571,
|
| 678 |
+
"grad_norm": 7.978451728820801,
|
| 679 |
+
"learning_rate": 3.0414670411366266e-06,
|
| 680 |
+
"loss": 1.0953305053710938,
|
| 681 |
+
"step": 4600
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 3.610248447204969,
|
| 685 |
+
"grad_norm": 8.50739860534668,
|
| 686 |
+
"learning_rate": 2.958863373533785e-06,
|
| 687 |
+
"loss": 1.0060964965820312,
|
| 688 |
+
"step": 4650
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 3.6490683229813663,
|
| 692 |
+
"grad_norm": 8.6639986038208,
|
| 693 |
+
"learning_rate": 2.876259705930944e-06,
|
| 694 |
+
"loss": 0.9362821960449219,
|
| 695 |
+
"step": 4700
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 3.687888198757764,
|
| 699 |
+
"grad_norm": 9.980217933654785,
|
| 700 |
+
"learning_rate": 2.793656038328102e-06,
|
| 701 |
+
"loss": 0.9748807525634766,
|
| 702 |
+
"step": 4750
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 3.7267080745341614,
|
| 706 |
+
"grad_norm": 8.53567123413086,
|
| 707 |
+
"learning_rate": 2.7110523707252605e-06,
|
| 708 |
+
"loss": 0.9750958251953125,
|
| 709 |
+
"step": 4800
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 3.7655279503105588,
|
| 713 |
+
"grad_norm": 9.582347869873047,
|
| 714 |
+
"learning_rate": 2.6284487031224186e-06,
|
| 715 |
+
"loss": 0.9185539245605469,
|
| 716 |
+
"step": 4850
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 3.8043478260869565,
|
| 720 |
+
"grad_norm": 12.004874229431152,
|
| 721 |
+
"learning_rate": 2.5458450355195775e-06,
|
| 722 |
+
"loss": 0.9237863159179688,
|
| 723 |
+
"step": 4900
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 3.843167701863354,
|
| 727 |
+
"grad_norm": 13.144355773925781,
|
| 728 |
+
"learning_rate": 2.463241367916736e-06,
|
| 729 |
+
"loss": 0.9831585693359375,
|
| 730 |
+
"step": 4950
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 3.8819875776397517,
|
| 734 |
+
"grad_norm": 8.973755836486816,
|
| 735 |
+
"learning_rate": 2.380637700313894e-06,
|
| 736 |
+
"loss": 1.0324047088623047,
|
| 737 |
+
"step": 5000
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 3.920807453416149,
|
| 741 |
+
"grad_norm": 9.93669319152832,
|
| 742 |
+
"learning_rate": 2.2980340327110525e-06,
|
| 743 |
+
"loss": 0.9055207061767578,
|
| 744 |
+
"step": 5050
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 3.9596273291925463,
|
| 748 |
+
"grad_norm": 4.113827705383301,
|
| 749 |
+
"learning_rate": 2.215430365108211e-06,
|
| 750 |
+
"loss": 0.8888311004638672,
|
| 751 |
+
"step": 5100
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 3.998447204968944,
|
| 755 |
+
"grad_norm": 14.113999366760254,
|
| 756 |
+
"learning_rate": 2.1328266975053694e-06,
|
| 757 |
+
"loss": 0.9598866271972656,
|
| 758 |
+
"step": 5150
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 4.0,
|
| 762 |
+
"eval_accuracy": 0.8267879288962381,
|
| 763 |
+
"eval_loss": 0.9564170241355896,
|
| 764 |
+
"eval_runtime": 9.318,
|
| 765 |
+
"eval_samples_per_second": 259.605,
|
| 766 |
+
"eval_steps_per_second": 16.312,
|
| 767 |
+
"step": 5152
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 4.037267080745342,
|
| 771 |
+
"grad_norm": 9.910421371459961,
|
| 772 |
+
"learning_rate": 2.050223029902528e-06,
|
| 773 |
+
"loss": 0.8574532318115234,
|
| 774 |
+
"step": 5200
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 4.076086956521739,
|
| 778 |
+
"grad_norm": 13.372318267822266,
|
| 779 |
+
"learning_rate": 1.9676193622996863e-06,
|
| 780 |
+
"loss": 0.86721923828125,
|
| 781 |
+
"step": 5250
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 4.114906832298137,
|
| 785 |
+
"grad_norm": 4.227599620819092,
|
| 786 |
+
"learning_rate": 1.8850156946968448e-06,
|
| 787 |
+
"loss": 0.7417903137207031,
|
| 788 |
+
"step": 5300
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 4.153726708074534,
|
| 792 |
+
"grad_norm": 7.521543979644775,
|
| 793 |
+
"learning_rate": 1.8024120270940033e-06,
|
| 794 |
+
"loss": 0.7657796478271485,
|
| 795 |
+
"step": 5350
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 4.192546583850931,
|
| 799 |
+
"grad_norm": 8.862835884094238,
|
| 800 |
+
"learning_rate": 1.7198083594911616e-06,
|
| 801 |
+
"loss": 0.7435103607177734,
|
| 802 |
+
"step": 5400
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 4.2313664596273295,
|
| 806 |
+
"grad_norm": 7.360652923583984,
|
| 807 |
+
"learning_rate": 1.63720469188832e-06,
|
| 808 |
+
"loss": 0.8516057586669922,
|
| 809 |
+
"step": 5450
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 4.270186335403727,
|
| 813 |
+
"grad_norm": 7.56041955947876,
|
| 814 |
+
"learning_rate": 1.5546010242854783e-06,
|
| 815 |
+
"loss": 0.8586593627929687,
|
| 816 |
+
"step": 5500
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 4.309006211180124,
|
| 820 |
+
"grad_norm": 10.998615264892578,
|
| 821 |
+
"learning_rate": 1.4719973566826368e-06,
|
| 822 |
+
"loss": 0.871690902709961,
|
| 823 |
+
"step": 5550
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 4.3478260869565215,
|
| 827 |
+
"grad_norm": 7.930166244506836,
|
| 828 |
+
"learning_rate": 1.3893936890797952e-06,
|
| 829 |
+
"loss": 0.8314385986328126,
|
| 830 |
+
"step": 5600
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 4.386645962732919,
|
| 834 |
+
"grad_norm": 12.592620849609375,
|
| 835 |
+
"learning_rate": 1.3067900214769535e-06,
|
| 836 |
+
"loss": 0.8933805847167968,
|
| 837 |
+
"step": 5650
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 4.425465838509317,
|
| 841 |
+
"grad_norm": 9.266133308410645,
|
| 842 |
+
"learning_rate": 1.2241863538741122e-06,
|
| 843 |
+
"loss": 0.8784015655517579,
|
| 844 |
+
"step": 5700
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 4.464285714285714,
|
| 848 |
+
"grad_norm": 11.813312530517578,
|
| 849 |
+
"learning_rate": 1.1415826862712704e-06,
|
| 850 |
+
"loss": 0.8659978485107422,
|
| 851 |
+
"step": 5750
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 4.503105590062112,
|
| 855 |
+
"grad_norm": 7.200871467590332,
|
| 856 |
+
"learning_rate": 1.058979018668429e-06,
|
| 857 |
+
"loss": 0.7724305725097657,
|
| 858 |
+
"step": 5800
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 4.541925465838509,
|
| 862 |
+
"grad_norm": 6.725843906402588,
|
| 863 |
+
"learning_rate": 9.763753510655874e-07,
|
| 864 |
+
"loss": 0.74711669921875,
|
| 865 |
+
"step": 5850
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 4.580745341614907,
|
| 869 |
+
"grad_norm": 6.0406694412231445,
|
| 870 |
+
"learning_rate": 8.937716834627458e-07,
|
| 871 |
+
"loss": 0.8589053344726563,
|
| 872 |
+
"step": 5900
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 4.619565217391305,
|
| 876 |
+
"grad_norm": 6.727048397064209,
|
| 877 |
+
"learning_rate": 8.111680158599042e-07,
|
| 878 |
+
"loss": 0.8026133728027344,
|
| 879 |
+
"step": 5950
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 4.658385093167702,
|
| 883 |
+
"grad_norm": 5.949310302734375,
|
| 884 |
+
"learning_rate": 7.285643482570627e-07,
|
| 885 |
+
"loss": 0.7926577758789063,
|
| 886 |
+
"step": 6000
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 4.697204968944099,
|
| 890 |
+
"grad_norm": 14.107566833496094,
|
| 891 |
+
"learning_rate": 6.459606806542211e-07,
|
| 892 |
+
"loss": 0.9208444213867187,
|
| 893 |
+
"step": 6050
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 4.736024844720497,
|
| 897 |
+
"grad_norm": 7.512182712554932,
|
| 898 |
+
"learning_rate": 5.633570130513795e-07,
|
| 899 |
+
"loss": 0.740212173461914,
|
| 900 |
+
"step": 6100
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 4.774844720496894,
|
| 904 |
+
"grad_norm": 5.291878700256348,
|
| 905 |
+
"learning_rate": 4.807533454485379e-07,
|
| 906 |
+
"loss": 0.8455804443359375,
|
| 907 |
+
"step": 6150
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 4.813664596273292,
|
| 911 |
+
"grad_norm": 11.112459182739258,
|
| 912 |
+
"learning_rate": 3.9814967784569643e-07,
|
| 913 |
+
"loss": 0.77959716796875,
|
| 914 |
+
"step": 6200
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 4.85248447204969,
|
| 918 |
+
"grad_norm": 2.925304651260376,
|
| 919 |
+
"learning_rate": 3.155460102428548e-07,
|
| 920 |
+
"loss": 0.7745262145996094,
|
| 921 |
+
"step": 6250
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 4.891304347826087,
|
| 925 |
+
"grad_norm": 10.317737579345703,
|
| 926 |
+
"learning_rate": 2.3294234264001324e-07,
|
| 927 |
+
"loss": 0.9354353332519532,
|
| 928 |
+
"step": 6300
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 4.930124223602484,
|
| 932 |
+
"grad_norm": 12.665268898010254,
|
| 933 |
+
"learning_rate": 1.5033867503717166e-07,
|
| 934 |
+
"loss": 0.7373665618896484,
|
| 935 |
+
"step": 6350
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 4.9689440993788825,
|
| 939 |
+
"grad_norm": 12.559833526611328,
|
| 940 |
+
"learning_rate": 6.77350074343301e-08,
|
| 941 |
+
"loss": 0.8966941833496094,
|
| 942 |
+
"step": 6400
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 5.0,
|
| 946 |
+
"eval_accuracy": 0.836709384042993,
|
| 947 |
+
"eval_loss": 0.9067481756210327,
|
| 948 |
+
"eval_runtime": 9.2389,
|
| 949 |
+
"eval_samples_per_second": 261.828,
|
| 950 |
+
"eval_steps_per_second": 16.452,
|
| 951 |
+
"step": 6440
|
| 952 |
+
}
|
| 953 |
+
],
|
| 954 |
+
"logging_steps": 50,
|
| 955 |
+
"max_steps": 6440,
|
| 956 |
+
"num_input_tokens_seen": 0,
|
| 957 |
+
"num_train_epochs": 5,
|
| 958 |
+
"save_steps": 500,
|
| 959 |
+
"stateful_callbacks": {
|
| 960 |
+
"TrainerControl": {
|
| 961 |
+
"args": {
|
| 962 |
+
"should_epoch_stop": false,
|
| 963 |
+
"should_evaluate": false,
|
| 964 |
+
"should_log": false,
|
| 965 |
+
"should_save": true,
|
| 966 |
+
"should_training_stop": true
|
| 967 |
+
},
|
| 968 |
+
"attributes": {}
|
| 969 |
+
}
|
| 970 |
+
},
|
| 971 |
+
"total_flos": 0.0,
|
| 972 |
+
"train_batch_size": 16,
|
| 973 |
+
"trial_name": null,
|
| 974 |
+
"trial_params": null
|
| 975 |
+
}
|
checkpoint-6440/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74437768892f28df5eb9cd67dc81c630774091f4cf430ac604b093bf8b442dbd
|
| 3 |
+
size 5201
|
frame2_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0f8d6ec4ab5faca054926d249384896db60c41b8788d3f3480b9305dd17de0df
|
| 3 |
+
size 1749219067
|
frame2id.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"frame2id": {"Abandonment": 0, "Abounding_with": 1, "Absorb_heat": 2, "Abundance": 3, "Abusing": 4, "Access_scenario": 5, "Accompaniment": 6, "Accomplishment": 7, "Accoutrements": 8, "Accuracy": 9, "Achieving_first": 10, "Active_substance": 11, "Activity": 12, "Activity_abandoned_state": 13, "Activity_done_state": 14, "Activity_finish": 15, "Activity_ongoing": 16, "Activity_pause": 17, "Activity_paused_state": 18, "Activity_prepare": 19, "Activity_ready_state": 20, "Activity_resume": 21, "Activity_start": 22, "Activity_stop": 23, "Actually_occurring_entity": 24, "Addiction": 25, "Adding_up": 26, "Adducing": 27, "Adjacency": 28, "Adjusting": 29, "Adopt_selection": 30, "Aesthetics": 31, "Affirm_or_deny": 32, "Age": 33, "Aggregate": 34, "Aging": 35, "Agree_or_refuse_to_act": 36, "Agriculture": 37, "Aiming": 38, "Alignment_image_schema": 39, "Alliance": 40, "Alternatives": 41, "Alternativity": 42, "Amalgamation": 43, "Amassing": 44, "Ambient_temperature": 45, "Ammunition": 46, "Amounting_to": 47, "Animals": 48, "Annoyance": 49, "Appeal": 50, "Appellations": 51, "Apply_heat": 52, "Appointing": 53, "Architectural_part": 54, "Arithmetic": 55, "Arithmetic_commutative": 56, "Arithmetic_non-commutative": 57, "Armor": 58, "Arraignment": 59, "Arranging": 60, "Arrest": 61, "Arriving": 62, "Arson": 63, "Artifact": 64, "Artifact_subpart": 65, "Artificiality": 66, "Artistic_style": 67, "Assemble": 68, "Assessing": 69, "Assigned_location": 70, "Assistance": 71, "Asymmetric_reciprocality": 72, "Atonement": 73, "Attaching": 74, "Attack": 75, "Attempt": 76, "Attempt_action_scenario": 77, "Attempt_distant_interaction_scenario": 78, "Attempt_means": 79, "Attempt_obtain_food_scenario": 80, "Attempt_obtain_mineral_scenario": 81, "Attempt_suasion": 82, "Attempting_and_resolving_scenario": 83, "Attending": 84, "Attention": 85, "Attention_getting": 86, "Attitude_description": 87, "Attributed_information": 88, "Attributes": 89, "Authority": 90, "Avoiding": 91, "Awareness": 92, "Awareness_situation": 93, "Awareness_status": 94, "Bail_decision": 95, "Basis_for_attribute": 96, "Be_in_agreement_on_action": 97, "Be_in_agreement_on_assessment": 98, "Be_on_alert": 99, "Be_subset_of": 100, "Be_translation_equivalent": 101, "Bearing_arms": 102, "Beat_opponent": 103, "Becoming": 104, "Becoming_a_member": 105, "Becoming_attached": 106, "Becoming_aware": 107, "Becoming_detached": 108, "Becoming_dry": 109, "Becoming_separated": 110, "Becoming_silent": 111, "Becoming_visible": 112, "Behind_the_scenes": 113, "Being_active": 114, "Being_at_risk": 115, "Being_attached": 116, "Being_awake": 117, "Being_born": 118, "Being_contained_within": 119, "Being_detached": 120, "Being_dry": 121, "Being_employed": 122, "Being_in_captivity": 123, "Being_in_category": 124, "Being_in_control": 125, "Being_in_effect": 126, "Being_in_operation": 127, "Being_incarcerated": 128, "Being_included": 129, "Being_located": 130, "Being_named": 131, "Being_necessary": 132, "Being_obligated": 133, "Being_obligatory": 134, "Being_operational": 135, "Being_pregnant": 136, "Being_questionable": 137, "Being_relevant": 138, "Being_rotted": 139, "Being_up_to_it": 140, "Being_wet": 141, "Besieging": 142, "Beyond_compare": 143, "Billing": 144, "Biological_area": 145, "Biological_classification": 146, "Biological_entity": 147, "Biological_mechanisms": 148, "Biological_urge": 149, "Birth_scenario": 150, "Board_vehicle": 151, "Body_decoration": 152, "Body_description_holistic": 153, "Body_description_part": 154, "Body_mark": 155, "Body_movement": 156, "Body_parts": 157, "Bond_maturation": 158, "Borrowing": 159, "Boundary": 160, "Bounded_entity": 161, "Bounded_region": 162, "Bragging": 163, "Breaking_apart": 164, "Breaking_off": 165, "Breaking_out_captive": 166, "Breathing": 167, "Bringing": 168, "Building": 169, "Building_subparts": 170, "Buildings": 171, "Bungling": 172, "Burying": 173, "Business_closure": 174, "Businesses": 175, "Cache": 176, "Calendric_unit": 177, "Candidness": 178, "Capability": 179, "Capacity": 180, "Capital_stock": 181, "Cardinal_numbers": 182, "Carry_goods": 183, "Catastrophe": 184, "Catching_fire": 185, "Categorization": 186, "Causation": 187, "Causation_scenario": 188, "Cause_bodily_experience": 189, "Cause_change": 190, "Cause_change_of_consistency": 191, "Cause_change_of_phase": 192, "Cause_change_of_position_on_a_scale": 193, "Cause_change_of_strength": 194, "Cause_emotion": 195, "Cause_expansion": 196, "Cause_fluidic_motion": 197, "Cause_harm": 198, "Cause_impact": 199, "Cause_motion": 200, "Cause_proliferation_in_number": 201, "Cause_temperature_change": 202, "Cause_to_amalgamate": 203, "Cause_to_be_dry": 204, "Cause_to_be_included": 205, "Cause_to_be_sharp": 206, "Cause_to_be_wet": 207, "Cause_to_burn": 208, "Cause_to_continue": 209, "Cause_to_end": 210, "Cause_to_experience": 211, "Cause_to_fragment": 212, "Cause_to_land": 213, "Cause_to_make_noise": 214, "Cause_to_make_progress": 215, "Cause_to_move_in_place": 216, "Cause_to_perceive": 217, "Cause_to_resume": 218, "Cause_to_rot": 219, "Cause_to_start": 220, "Cause_to_wake": 221, "Ceasing_to_be": 222, "Certainty": 223, "Change_accessibility": 224, "Change_direction": 225, "Change_event_duration": 226, "Change_event_time": 227, "Change_of_consistency": 228, "Change_of_leadership": 229, "Change_of_phase": 230, "Change_of_phase_scenario": 231, "Change_of_quantity_of_possession": 232, "Change_of_temperature": 233, "Change_operational_state": 234, "Change_position_on_a_scale": 235, "Change_post-state": 236, "Change_posture": 237, "Change_resistance": 238, "Change_tool": 239, "Chaos": 240, "Chatting": 241, "Chemical-sense_description": 242, "Chemical_potency": 243, "Choosing": 244, "Circumscribed_existence": 245, "Citing": 246, "Claim_ownership": 247, "Clemency": 248, "Closure": 249, "Clothing": 250, "Clothing_parts": 251, "Co-association": 252, "Cogitation": 253, "Cognitive_connection": 254, "Cognitive_impact": 255, "Coincidence": 256, "Collaboration": 257, "Collocation_image_schema": 258, "Colonization": 259, "Color": 260, "Color_qualities": 261, "Come_down_with": 262, "Come_into_effect": 263, "Come_together": 264, "Coming_to_be": 265, "Coming_to_believe": 266, "Coming_up_with": 267, "Commemorative": 268, "Commerce_buy": 269, "Commerce_collect": 270, "Commerce_goods-transfer": 271, "Commerce_money-transfer": 272, "Commerce_pay": 273, "Commerce_scenario": 274, "Commerce_sell": 275, "Commercial_transaction": 276, "Commitment": 277, "Committing_crime": 278, "Commonality": 279, "Communicate_categorization": 280, "Communication": 281, "Communication_manner": 282, "Communication_means": 283, "Communication_noise": 284, "Communication_response": 285, "Commutation": 286, "Commutative_process": 287, "Commutative_statement": 288, "Compatibility": 289, "Competition": 290, "Complaining": 291, "Completeness": 292, "Compliance": 293, "Concessive": 294, "Condition_symptom_relation": 295, "Conditional_occurrence": 296, "Conditional_scenario": 297, "Conduct": 298, "Conferring_benefit": 299, "Confronting_problem": 300, "Connecting_architecture": 301, "Connectors": 302, "Conquering": 303, "Contact_image_schema": 304, "Contacting": 305, "Container_focused_placing": 306, "Container_focused_removing": 307, "Containers": 308, "Containing": 309, "Containment_scenario": 310, "Contingency": 311, "Continued_state_of_affairs": 312, "Contrary_circumstances": 313, "Contrition": 314, "Control": 315, "Controller_object": 316, "Convey_importance": 317, "Convoy": 318, "Cooking_creation": 319, "Corporal_punishment": 320, "Correctness": 321, "Corroding": 322, "Corroding_caused": 323, "Cotheme": 324, "Counterattack": 325, "Court_examination": 326, "Craft": 327, "Create_physical_artwork": 328, "Create_representation": 329, "Creating": 330, "Crime_scenario": 331, "Criminal_investigation": 332, "Criminal_process": 333, "Cure": 334, "Custom": 335, "Cutting": 336, "Cycle_of_existence_scenario": 337, "Cycle_of_life_and_death": 338, "Damaging": 339, "Daring": 340, "Dead_or_alive": 341, "Death": 342, "Deception_end": 343, "Deception_scenario": 344, "Deception_success": 345, "Deciding": 346, "Defending": 347, "Degree": 348, "Degree_of_processing": 349, "Delimitation_of_diversity": 350, "Delimited_state_scenario": 351, "Delivery": 352, "Deny_or_grant_permission": 353, "Departing": 354, "Deserving": 355, "Desirability": 356, "Desirable_event": 357, "Desiring": 358, "Destiny": 359, "Destroying": 360, "Detaching": 361, "Detaining": 362, "Detonate_explosive": 363, "Differentiation": 364, "Difficulty": 365, "Dimension": 366, "Direction": 367, "Directional_locative_relation": 368, "Disaster_scenario": 369, "Discussion": 370, "Disembarking": 371, "Disgraceful_situation": 372, "Dispersal": 373, "Distant_operated_IED": 374, "Distinctiveness": 375, "Distributed_abundance": 376, "Distributed_position": 377, "Diversity": 378, "Documents": 379, "Dodging": 380, "Domain": 381, "Dominate_competitor": 382, "Dominate_situation": 383, "Domination": 384, "Dough_rising": 385, "Downing": 386, "Dressing": 387, "Drop_in_on": 388, "Dunking": 389, "Duplication": 390, "Duration_description": 391, "Duration_relation": 392, "Duration_scenario": 393, "Dying": 394, "Dynamic_situation_scenario": 395, "Dynamism": 396, "Earnings_and_losses": 397, "Eclipse": 398, "Economy": 399, "Education_teaching": 400, "Electricity": 401, "Elusive_goal": 402, "Emanating": 403, "Emergency": 404, "Emergency_fire": 405, "Emitting": 406, "Emotion_active": 407, "Emotion_directed": 408, "Emotion_heat": 409, "Emotions": 410, "Emotions_by_possibility": 411, "Emotions_by_stimulus": 412, "Emotions_of_mental_activity": 413, "Emotions_success_or_failure": 414, "Emphasizing": 415, "Employee_scenario": 416, "Employer_scenario": 417, "Employing": 418, "Employment_continue": 419, "Employment_end": 420, "Employment_scenario": 421, "Employment_start": 422, "Emptying": 423, "Encoding": 424, "Encounter": 425, "Endangering": 426, "Endeavor_failure": 427, "Enforcing": 428, "Entering_of_plea": 429, "Entity": 430, "Entourage": 431, "Erasing": 432, "Escaping": 433, "Estimated_value": 434, "Estimating": 435, "Evading": 436, "Evaluative_comparison": 437, "Event": 438, "Event_endstate": 439, "Event_initial_state": 440, "Event_instance": 441, "Eventive_affecting": 442, "Eventive_cognizer_affecting": 443, "Evidence": 444, "Evoking": 445, "Examination": 446, "Exchange": 447, "Exchange_currency": 448, "Exclude_member": 449, "Excreting": 450, "Execute_plan": 451, "Execution": 452, "Exemplar": 453, "Exemplariness": 454, "Exercising": 455, "Existence": 456, "Expansion": 457, "Expectation": 458, "Expected_location_of_person": 459, "Expend_resource": 460, "Expensiveness": 461, "Experience_bodily_harm": 462, "Experiencer_focus": 463, "Experiencer_obj": 464, "Experimentation": 465, "Expertise": 466, "Explaining_the_facts": 467, "Explosion": 468, "Exporting": 469, "Expressing_publicly": 470, "Extradition": 471, "Extreme_point": 472, "Extreme_value": 473, "Facial_expression": 474, "Fairness_evaluation": 475, "Fall_asleep": 476, "Fall_for": 477, "Fame": 478, "Familiarity": 479, "Fastener": 480, "Fear": 481, "Feeling": 482, "Feigning": 483, "Fields": 484, "Fighting_activity": 485, "Filling": 486, "Fining": 487, "Finish_competition": 488, "Finish_game": 489, "Fire_break": 490, "Fire_burning": 491, "Fire_emergency_scenario": 492, "Fire_end_scenario": 493, "Fire_going_out": 494, "Fire_stopping_scenario": 495, "Firefighting": 496, "Firing": 497, "Firing_point": 498, "First_experience": 499, "First_rank": 500, "Fleeing": 501, "Fluidic_motion": 502, "Food": 503, "Food_gathering": 504, "Foreign_or_domestic_country": 505, "Forging": 506, "Forgiveness": 507, "Forgoing": 508, "Forming_relationships": 509, "Fragmentation_scenario": 510, "Freeing_from_confinement": 511, "Frequency": 512, "Friction": 513, "Friendly_or_hostile": 514, "Front_for": 515, "Frugality": 516, "Fugitive": 517, "Fullness": 518, "Function": 519, "Funding": 520, "Gathering_up": 521, "Gesture": 522, "Get_a_job": 523, "Getting": 524, "Getting_scenario": 525, "Getting_triggered": 526, "Getting_underway": 527, "Getting_up": 528, "Getting_vehicle_underway": 529, "Give_impression": 530, "Giving": 531, "Giving_birth": 532, "Giving_in": 533, "Giving_scenario": 534, "Gizmo": 535, "Go_into_shape": 536, "Goal": 537, "Going_back_on_a_commitment": 538, "Government_institution": 539, "Gradable_artistic_quality": 540, "Gradable_attributes": 541, "Gradable_proximity": 542, "Graph_shape": 543, "Grasp": 544, "Grinding": 545, "Grooming": 546, "Ground_up": 547, "Growing_food": 548, "Guest_and_host": 549, "Guilt_or_innocence": 550, "Gusto": 551, "Hair_configuration": 552, "Halt": 553, "Have_as_requirement": 554, "Have_as_translation_equivalent": 555, "Have_associated": 556, "Have_visitor_over": 557, "Having_commercial_agreement": 558, "Having_or_lacking_access": 559, "Health_response": 560, "Hearsay": 561, "Heat_potential": 562, "Hedging": 563, "Heralding": 564, "Hiding_objects": 565, "Hindering": 566, "Hiring": 567, "Historic_event": 568, "History": 569, "History_scenario": 570, "Hit_or_miss": 571, "Hit_target": 572, "Holding_off_on": 573, "Hospitality": 574, "Hostile_encounter": 575, "Hunting": 576, "Hunting_scenario": 577, "Hunting_success_or_failure": 578, "Identicality": 579, "Identity": 580, "Identity_scenario": 581, "Idiosyncrasy": 582, "Image_schema": 583, "Imitating": 584, "Immobilization": 585, "Impact": 586, "Import_export_scenario": 587, "Importance": 588, "Importing": 589, "Imposing_obligation": 590, "Impression": 591, "Imprisonment": 592, "Improvement_or_decline": 593, "Improvised_explosive_device": 594, "Inclination": 595, "Inclusion": 596, "Inclusion_scenario": 597, "Increment": 598, "Indicating": 599, "Indigenous_origin": 600, "Individual_history": 601, "Ineffability": 602, "Infecting": 603, "Influencing_potential": 604, "Information": 605, "Information_display": 606, "Infrastructure": 607, "Ingest_substance": 608, "Ingestion": 609, "Ingredients": 610, "Inherent_purpose": 611, "Inhibit_motion_scenario": 612, "Inhibit_movement": 613, "Inspecting": 614, "Installing": 615, "Instance": 616, "Institutionalization": 617, "Institutions": 618, "Intentional_deception": 619, "Intentional_traversing": 620, "Intentionally_act": 621, "Intentionally_affect": 622, "Intentionally_create": 623, "Intercepting": 624, "Interior_profile_relation": 625, "Interrupt_process": 626, "Intoxicants": 627, "Intoxication": 628, "Invading": 629, "Invasion_scenario": 630, "Irregular_combatants": 631, "Isolated_places": 632, "Judgment": 633, "Judgment_communication": 634, "Judgment_direct_address": 635, "Judgment_of_intensity": 636, "Judicial_body": 637, "Jury_deliberation": 638, "Just_found_out": 639, "Justifying": 640, "Key": 641, "Kidnapping": 642, "Killing": 643, "Kinship": 644, "Knot_creation": 645, "Knot_creation_scenario": 646, "Labeling": 647, "Labor_product": 648, "Launch_process": 649, "Law": 650, "Law_enforcement_agency": 651, "Leadership": 652, "Leaving_traces": 653, "Left_to_do": 654, "Legal_rulings": 655, "Legality": 656, "Lending": 657, "Level_of_force_exertion": 658, "Level_of_force_resistance": 659, "Level_of_light": 660, "Light_movement": 661, "Likelihood": 662, "Limitation": 663, "Limiting": 664, "Linguistic_meaning": 665, "Lively_place": 666, "Living_conditions": 667, "Locale": 668, "Locale_by_characteristic_entity": 669, "Locale_by_collocation": 670, "Locale_by_event": 671, "Locale_by_ownership": 672, "Locale_by_use": 673, "Locale_closure": 674, "Locating": 675, "Location_in_time": 676, "Location_of_light": 677, "Location_on_path": 678, "Locative_relation": 679, "Locative_scenario": 680, "Lodging_scenario": 681, "Lose_possession": 682, "Lose_possession_scenario": 683, "Losing": 684, "Losing_it": 685, "Losing_someone": 686, "Losing_track_of": 687, "Losing_track_of_perceiver": 688, "Losing_track_of_theme": 689, "Luck": 690, "Make_acquaintance": 691, "Make_agreement_on_action": 692, "Make_cognitive_connection": 693, "Make_compromise": 694, "Make_noise": 695, "Making_arrangements": 696, "Making_faces": 697, "Manipulate_into_doing": 698, "Manipulate_into_shape": 699, "Manipulation": 700, "Manner": 701, "Manner_of_life": 702, "Manufacturing": 703, "Margin_of_resolution": 704, "Mass_motion": 705, "Mathematical_relationship": 706, "Means": 707, "Measurable_attributes": 708, "Measure_area": 709, "Measure_by_action": 710, "Measure_duration": 711, "Measure_linear_extent": 712, "Measure_mass": 713, "Measure_scenario": 714, "Measure_volume": 715, "Measures": 716, "Medical_conditions": 717, "Medical_instruments": 718, "Medical_interaction_scenario": 719, "Medical_intervention": 720, "Medical_professionals": 721, "Medical_specialties": 722, "Medium": 723, "Meet_specifications": 724, "Meet_with": 725, "Meet_with_response": 726, "Member_of_military": 727, "Membership": 728, "Memorization": 729, "Memory": 730, "Mental_activity": 731, "Mental_property": 732, "Mental_stimulus_exp_focus": 733, "Mental_stimulus_stimulus_focus": 734, "Mention": 735, "Military": 736, "Military_operation": 737, "Mining": 738, "Misdeed": 739, "Money": 740, "Morality_evaluation": 741, "Motion": 742, "Motion_directional": 743, "Motion_noise": 744, "Motion_scenario": 745, "Moving_in_place": 746, "Name_conferral": 747, "Namesake": 748, "Natural_features": 749, "Needing": 750, "Negation": 751, "Negative_conditional": 752, "Network": 753, "Noise_makers": 754, "Non-commutative_process": 755, "Non-commutative_statement": 756, "Non-gradable_proximity": 757, "Noncombatant": 758, "Notability": 759, "Notification_of_charges": 760, "Nuclear_process": 761, "Objective_influence": 762, "Obligation_scenario": 763, "Obscurity": 764, "Obviousness": 765, "Occupy_rank": 766, "Offenses": 767, "Offering": 768, "Offshoot": 769, "Omen": 770, "Ontogeny": 771, "Openness": 772, "Operate_vehicle": 773, "Operate_vehicle_scenario": 774, "Operating_a_system": 775, "Operational_testing": 776, "Opinion": 777, "Opportunity": 778, "Optical_image": 779, "Ordinal_numbers": 780, "Organization": 781, "Origin": 782, "Others_situation_as_stimulus": 783, "Out_of_existence": 784, "Pardon": 785, "Part_edge": 786, "Part_inner_outer": 787, "Part_ordered_segments": 788, "Part_orientational": 789, "Part_piece": 790, "Part_whole": 791, "Partiality": 792, "Participation": 793, "Partitive": 794, "Passing": 795, "Passing_off": 796, "Path_shape": 797, "Path_traveled": 798, "Patrolling": 799, "Pattern": 800, "People": 801, "People_along_political_spectrum": 802, "People_by_age": 803, "People_by_jurisdiction": 804, "People_by_military_specialty": 805, "People_by_morality": 806, "People_by_origin": 807, "People_by_religion": 808, "People_by_residence": 809, "People_by_vocation": 810, "Perception": 811, "Perception_active": 812, "Perception_body": 813, "Perception_experience": 814, "Performers": 815, "Performers_and_roles": 816, "Performing_arts": 817, "Personal_relationship": 818, "Personal_success": 819, "Physical_artworks": 820, "Physical_entity": 821, "Piracy": 822, "Placing": 823, "Placing_scenario": 824, "Planned_trajectory": 825, "Planting": 826, "Plants": 827, "Point_of_dispute": 828, "Political_actions": 829, "Political_locales": 830, "Popularity": 831, "Posing_as": 832, "Position_on_a_scale": 833, "Possession": 834, "Possibility": 835, "Post_getting": 836, "Post_giving": 837, "Post_lose_possession": 838, "Post_receiving": 839, "Post_transfer": 840, "Posture": 841, "Practice": 842, "Praiseworthiness": 843, "Prank": 844, "Pre_getting": 845, "Pre_giving": 846, "Pre_lose_possession": 847, "Pre_receiving": 848, "Pre_transfer": 849, "Precariousness": 850, "Precipitation": 851, "Predicament": 852, "Predicting": 853, "Preference": 854, "Preferred_alternative_scenario": 855, "Preliminaries": 856, "Presence": 857, "Presentation_of_mitigation": 858, "Preserving": 859, "Prevarication": 860, "Prevent_or_allow_possession": 861, "Preventing_or_letting": 862, "Price_per_unit": 863, "Prison": 864, "Probability": 865, "Process": 866, "Process_completed_state": 867, "Process_continue": 868, "Process_end": 869, "Process_initial_state": 870, "Process_pause": 871, "Process_resume": 872, "Process_start": 873, "Process_stop": 874, "Process_stopped_state": 875, "Process_uncompleted_state": 876, "Processing_materials": 877, "Procreative_sex": 878, "Product_delivery": 879, "Product_development": 880, "Product_development_scenario": 881, "Product_line": 882, "Progression": 883, "Prohibiting_or_licensing": 884, "Project": 885, "Proliferating_in_number": 886, "Prominence": 887, "Proper_reference": 888, "Proportion": 889, "Proportional_quantity": 890, "Protecting": 891, "Protest": 892, "Provide_lodging": 893, "Proximity_image_schema": 894, "Public_services": 895, "Publishing": 896, "Punctual_perception": 897, "Purpose": 898, "Putting_out_fire": 899, "Quantified_mass": 900, "Quantity": 901, "Quarreling": 902, "Questioning": 903, "Quitting": 904, "Quitting_a_place": 905, "Race_descriptor": 906, "Range": 907, "Rank": 908, "Ranked_expectation": 909, "Rape": 910, "Rashness": 911, "Rate_description": 912, "Rate_quantification": 913, "Ratification": 914, "Reading_activity": 915, "Reading_aloud": 916, "Reading_perception": 917, "Reason": 918, "Reasoning": 919, "Reassuring": 920, "Rebellion": 921, "Receive_visitor_scenario": 922, "Receiving": 923, "Receiving_scenario": 924, "Reciprocality": 925, "Recording": 926, "Records": 927, "Recovery": 928, "Redirecting": 929, "Reference_text": 930, "Referring_by_name": 931, "Reforming_a_system": 932, "Regard": 933, "Region_with_portal": 934, "Rejuvenation": 935, "Relating_concepts": 936, "Relation": 937, "Relation_between_individuals": 938, "Relational_location": 939, "Relational_natural_features": 940, "Relational_political_locales": 941, "Relational_quantity": 942, "Relative_time": 943, "Releasing": 944, "Releasing_from_custody": 945, "Reliance": 946, "Reliance_on_expectation": 947, "Religious_belief": 948, "Remainder": 949, "Remembering_experience": 950, "Remembering_information": 951, "Remembering_to_do": 952, "Removing": 953, "Removing_scenario": 954, "Render_nonfunctional": 955, "Renting": 956, "Renting_out": 957, "Renunciation": 958, "Reparation": 959, "Repayment": 960, "Repel": 961, "Replacing": 962, "Reporting": 963, "Representative": 964, "Representing": 965, "Request": 966, "Request_entity": 967, "Required_event": 968, "Requirement_scenario": 969, "Rescuing": 970, "Research": 971, "Reserving": 972, "Reshaping": 973, "Residence": 974, "Resolve_problem": 975, "Respond_to_proposal": 976, "Response": 977, "Response_scenario": 978, "Responsibility": 979, "Rest": 980, "Result_of_attempt_scenario": 981, "Resurrection": 982, "Retaining": 983, "Reveal_secret": 984, "Revenge": 985, "Revolution": 986, "Rewards_and_punishments": 987, "Ride_vehicle": 988, "Rising_to_a_challenge": 989, "Risk_scenario": 990, "Risky_situation": 991, "Rite": 992, "Roadways": 993, "Robbery": 994, "Rope_manipulation": 995, "Rotting": 996, "Run_risk": 997, "Sacrificing_for": 998, "Satisfying": 999, "Scarcity": 1000, "Scheduling": 1001, "Scope": 1002, "Scouring": 1003, "Scrutinizing_for": 1004, "Scrutiny": 1005, "Searching_scenario": 1006, "Secrecy_status": 1007, "See_through": 1008, "Seeking": 1009, "Seeking_to_achieve": 1010, "Self_control": 1011, "Self_motion": 1012, "Sending": 1013, "Sensation": 1014, "Sent_items": 1015, "Sentencing": 1016, "Separating": 1017, "Sequence": 1018, "Serving_in_capacity": 1019, "Set_of_interrelated_entities": 1020, "Set_relation": 1021, "Setting_back_burn": 1022, "Setting_fire": 1023, "Setting_out": 1024, "Severity_of_offense": 1025, "Sex": 1026, "Sexual_reproduction_scenario": 1027, "Shaped_part": 1028, "Shapes": 1029, "Sharing": 1030, "Sharpness": 1031, "Shoot_projectiles": 1032, "Shooting_scenario": 1033, "Shopping": 1034, "Short_selling": 1035, "Sidereal_appearance": 1036, "Sign": 1037, "Sign_agreement": 1038, "Silencing": 1039, "Similarity": 1040, "Simple_name": 1041, "Simple_naming": 1042, "Simultaneity": 1043, "Size": 1044, "Sleep": 1045, "Sleep_wake_cycle": 1046, "Smuggling": 1047, "Soaking": 1048, "Soaking_up": 1049, "Sociability": 1050, "Social_behavior_evaluation": 1051, "Social_connection": 1052, "Social_desirability": 1053, "Social_event": 1054, "Social_event_collective": 1055, "Social_event_individuals": 1056, "Social_interaction_evaluation": 1057, "Socially_significant_history_scenario": 1058, "Sole_instance": 1059, "Sound_level": 1060, "Sound_movement": 1061, "Sounds": 1062, "Source_of_getting": 1063, "Source_path_goal": 1064, "Spatial_co-location": 1065, "Spatial_contact": 1066, "Speak_on_topic": 1067, "Specific_individual": 1068, "Speed_description": 1069, "Spelling_and_pronouncing": 1070, "Sports_jargon": 1071, "Stage_of_progress": 1072, "Standing_by": 1073, "State": 1074, "State_continue": 1075, "State_of_entity": 1076, "Statement": 1077, "Stimulus_focus": 1078, "Stinginess": 1079, "Store": 1080, "Storing": 1081, "Strictness": 1082, "Studying": 1083, "Suasion": 1084, "Subjective_influence": 1085, "Subjective_temperature": 1086, "Submitting_documents": 1087, "Subordinates_and_superiors": 1088, "Subsisting": 1089, "Substance": 1090, "Substance_by_phase": 1091, "Subversion": 1092, "Success_or_failure": 1093, "Successful_action": 1094, "Successfully_communicate_message": 1095, "Sufficiency": 1096, "Suicide_attack": 1097, "Suitability": 1098, "Summarizing": 1099, "Supply": 1100, "Supporting": 1101, "Surpassing": 1102, "Surrendering": 1103, "Surrendering_possession": 1104, "Surrounding": 1105, "Surviving": 1106, "Suspicion": 1107, "Symmetrical_collective_reciprocality": 1108, "System": 1109, "System_complexity": 1110, "Take_place_of": 1111, "Taking": 1112, "Taking_captive": 1113, "Taking_sides": 1114, "Taking_time": 1115, "Talking_into": 1116, "Tasting": 1117, "Team": 1118, "Telling": 1119, "Temperature": 1120, "Temporal_collocation": 1121, "Temporal_pattern": 1122, "Temporal_subregion": 1123, "Temporary_group": 1124, "Temporary_leave": 1125, "Temporary_stay": 1126, "Temporary_transfer_scenario": 1127, "Terms_of_agreement": 1128, "Terrorism": 1129, "Text": 1130, "Text_creation": 1131, "Theft": 1132, "Thermodynamic_phase": 1133, "Thriving": 1134, "Thwarting": 1135, "Time_period_of_action": 1136, "Time_vector": 1137, "Timespan": 1138, "Timetable": 1139, "Tolerating": 1140, "Tool_purpose": 1141, "Topic": 1142, "Touring": 1143, "Toxic_substance": 1144, "Transfer": 1145, "Transfer_scenario": 1146, "Transition_to_a_quality": 1147, "Transition_to_a_situation": 1148, "Transition_to_state": 1149, "Transitive_action": 1150, "Translating": 1151, "Transportation_status": 1152, "Trap": 1153, "Travel": 1154, "Traversing": 1155, "Treating_and_mistreating": 1156, "Trendiness": 1157, "Trial": 1158, "Triggering": 1159, "Trust": 1160, "Try_defendant": 1161, "Trying_out": 1162, "Turning_out": 1163, "Type": 1164, "Typicality": 1165, "Unattributed_information": 1166, "Undergo_change": 1167, "Undergo_transformation": 1168, "Undergoing": 1169, "Undergoing_scenario": 1170, "Undressing": 1171, "Unemployment_rate": 1172, "Use_firearm": 1173, "Use_vehicle": 1174, "Used_up": 1175, "Usefulness": 1176, "Using": 1177, "Using_resource": 1178, "Vehicle": 1179, "Vehicle_departure_initial_stage": 1180, "Vehicle_landing": 1181, "Vehicle_subpart": 1182, "Verdict": 1183, "Verification": 1184, "Version_sequence": 1185, "Victim_operated_IED": 1186, "Violence": 1187, "Visit_host": 1188, "Visit_host_arrival": 1189, "Visit_host_departure": 1190, "Visit_host_stay": 1191, "Visiting": 1192, "Visiting_scenario": 1193, "Visiting_scenario_arrival": 1194, "Visiting_scenario_departing": 1195, "Visiting_scenario_stay": 1196, "Visitor_and_host": 1197, "Visitor_arrival": 1198, "Visitor_departure": 1199, "Visitor_scenario": 1200, "Vocalizations": 1201, "Volubility": 1202, "Wagering": 1203, "Waiting": 1204, "Waking_up": 1205, "Want_suspect": 1206, "Warning": 1207, "Waver_between_options": 1208, "Wealthiness": 1209, "Weapon": 1210, "Wearing": 1211, "Weather": 1212, "Wholes_and_parts": 1213, "Willingness": 1214, "Win_prize": 1215, "Withdraw_from_participation": 1216, "Within_distance": 1217, "Word_relations": 1218, "Work": 1219, "Working_a_post": 1220}, "base_model": "microsoft/deberta-v3-large"}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": true,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "[CLS]",
|
| 5 |
+
"cls_token": "[CLS]",
|
| 6 |
+
"do_lower_case": false,
|
| 7 |
+
"eos_token": "[SEP]",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<t>",
|
| 10 |
+
"</t>"
|
| 11 |
+
],
|
| 12 |
+
"is_local": false,
|
| 13 |
+
"local_files_only": false,
|
| 14 |
+
"mask_token": "[MASK]",
|
| 15 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 16 |
+
"pad_token": "[PAD]",
|
| 17 |
+
"sep_token": "[SEP]",
|
| 18 |
+
"split_by_punct": false,
|
| 19 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
| 20 |
+
"unk_id": 3,
|
| 21 |
+
"unk_token": "[UNK]",
|
| 22 |
+
"vocab_type": "spm"
|
| 23 |
+
}
|