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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"peft_type": "LORA",
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"k_proj",
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"v_proj"
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"task_type": "CAUSAL_LM"
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last-checkpoint/adapter_model.safetensors
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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": 939361765588992.0,
|
| 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:c82f8daa53495bfef11faca7a8d954f8023465412fa138e9c80f9e8382c966a8
|
| 3 |
size 4600
|