Instructions to use somaia02/arabart-gec-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use somaia02/arabart-gec-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("moussaKam/AraBART") model = PeftModel.from_pretrained(base_model, "somaia02/arabart-gec-lora") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500, checkpoint
Browse files
last-checkpoint/adapter_config.json
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last-checkpoint/adapter_model.safetensors
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| 343 |
{
|
| 344 |
"epoch": 0.82,
|
| 345 |
+
"eval_loss": 0.5440758466720581,
|
| 346 |
+
"eval_runtime": 5.541,
|
| 347 |
+
"eval_samples_per_second": 211.333,
|
| 348 |
+
"eval_steps_per_second": 13.355,
|
| 349 |
+
"step": 500
|
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|
| 350 |
}
|
| 351 |
],
|
| 352 |
"logging_steps": 10,
|
| 353 |
+
"max_steps": 6130,
|
| 354 |
"num_train_epochs": 10,
|
| 355 |
"save_steps": 500,
|
| 356 |
+
"total_flos": 1077083681587200.0,
|
| 357 |
"trial_name": null,
|
| 358 |
"trial_params": null
|
| 359 |
}
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4600
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef926b73ee7f8ea582bb0c8e88b44eeac71091525992f56ddfde5d64524b7acf
|
| 3 |
size 4600
|