Instructions to use besimray/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use besimray/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "besimray/test") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 45118424
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:581ce02141e78d9221ba813009b4df857f792b7625b643e6f087a4d344bb7e7d
|
| 3 |
size 45118424
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 23159290
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a80cf6546c77389f1922dc367e78237cd9c56c5e0270814378fe278c0898905b
|
| 3 |
size 23159290
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6488621cfae2ffe0d34573d69d34b876de946ff462260a38dfb343677f810145
|
| 3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bb578e75c11a81e85dda67a691f96ba4793a02960f1409fd3e1511aac873491a
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 8,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -50,6 +50,49 @@
|
|
| 50 |
"learning_rate": 0.0001,
|
| 51 |
"loss": 1.24,
|
| 52 |
"step": 5
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 53 |
}
|
| 54 |
],
|
| 55 |
"logging_steps": 1,
|
|
@@ -69,7 +112,7 @@
|
|
| 69 |
"attributes": {}
|
| 70 |
}
|
| 71 |
},
|
| 72 |
-
"total_flos":
|
| 73 |
"train_batch_size": 10,
|
| 74 |
"trial_name": null,
|
| 75 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.21052631578947367,
|
| 5 |
"eval_steps": 8,
|
| 6 |
+
"global_step": 10,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 50 |
"learning_rate": 0.0001,
|
| 51 |
"loss": 1.24,
|
| 52 |
"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.12631578947368421,
|
| 56 |
+
"grad_norm": 0.514263927936554,
|
| 57 |
+
"learning_rate": 0.00012,
|
| 58 |
+
"loss": 1.3899,
|
| 59 |
+
"step": 6
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.14736842105263157,
|
| 63 |
+
"grad_norm": 0.6221964955329895,
|
| 64 |
+
"learning_rate": 0.00014,
|
| 65 |
+
"loss": 1.3389,
|
| 66 |
+
"step": 7
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.16842105263157894,
|
| 70 |
+
"grad_norm": 0.4577077031135559,
|
| 71 |
+
"learning_rate": 0.00016,
|
| 72 |
+
"loss": 1.223,
|
| 73 |
+
"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.16842105263157894,
|
| 77 |
+
"eval_loss": 1.2106529474258423,
|
| 78 |
+
"eval_runtime": 2.1078,
|
| 79 |
+
"eval_samples_per_second": 47.443,
|
| 80 |
+
"eval_steps_per_second": 4.744,
|
| 81 |
+
"step": 8
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.18947368421052632,
|
| 85 |
+
"grad_norm": 0.5334281921386719,
|
| 86 |
+
"learning_rate": 0.00018,
|
| 87 |
+
"loss": 1.2047,
|
| 88 |
+
"step": 9
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.21052631578947367,
|
| 92 |
+
"grad_norm": 0.44930824637413025,
|
| 93 |
+
"learning_rate": 0.0002,
|
| 94 |
+
"loss": 1.3736,
|
| 95 |
+
"step": 10
|
| 96 |
}
|
| 97 |
],
|
| 98 |
"logging_steps": 1,
|
|
|
|
| 112 |
"attributes": {}
|
| 113 |
}
|
| 114 |
},
|
| 115 |
+
"total_flos": 975282902138880.0,
|
| 116 |
"train_batch_size": 10,
|
| 117 |
"trial_name": null,
|
| 118 |
"trial_params": null
|