Instructions to use longcld/t5-small-e2e-qa-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/t5-small-e2e-qa-full with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/t5-small-e2e-qa-full") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5-small-e2e-qa-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
loss 1.9
Browse files- optimizer.pt +2 -2
- pytorch_model.bin +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +693 -3
optimizer.pt
CHANGED
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size 352532857
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pytorch_model.bin
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size 688496379
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rng_state.pth
CHANGED
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version https://git-lfs.github.com/spec/v1
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size 14503
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size 14503
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scheduler.pt
CHANGED
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version https://git-lfs.github.com/spec/v1
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size 623
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version https://git-lfs.github.com/spec/v1
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oid sha256:28815abb7485f25e0d84f8da82443e9227d6335d5ca41dcafd1766e40fab3540
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size 623
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trainer_state.json
CHANGED
|
@@ -1,8 +1,8 @@
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| 1 |
{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"learning_rate": 0.0003211686760073857,
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"loss": 2.0217,
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"step": 62500
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|
| 3759 |
}
|
| 3760 |
],
|
| 3761 |
"max_steps": 92070,
|
| 3762 |
"num_train_epochs": 10,
|
| 3763 |
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"total_flos": 1.
|
| 3764 |
"trial_name": null,
|
| 3765 |
"trial_params": null
|
| 3766 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 8.037361861576475,
|
| 5 |
+
"global_step": 74000,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
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|
| 3756 |
"learning_rate": 0.0003211686760073857,
|
| 3757 |
"loss": 2.0217,
|
| 3758 |
"step": 62500
|
| 3759 |
+
},
|
| 3760 |
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{
|
| 3761 |
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"epoch": 6.8,
|
| 3762 |
+
"learning_rate": 0.0003200825458889975,
|
| 3763 |
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"loss": 2.1323,
|
| 3764 |
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"step": 62600
|
| 3765 |
+
},
|
| 3766 |
+
{
|
| 3767 |
+
"epoch": 6.81,
|
| 3768 |
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"learning_rate": 0.00031899641577060934,
|
| 3769 |
+
"loss": 2.0287,
|
| 3770 |
+
"step": 62700
|
| 3771 |
+
},
|
| 3772 |
+
{
|
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