Instructions to use souging/bb904e4b-d273-4a10-a7bf-c576a99770e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/bb904e4b-d273-4a10-a7bf-c576a99770e5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "souging/bb904e4b-d273-4a10-a7bf-c576a99770e5") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2, checkpoint
Browse files- last-checkpoint/optimizer.pt +1 -1
- last-checkpoint/rng_state_0.pth +1 -1
- last-checkpoint/rng_state_1.pth +1 -1
- last-checkpoint/rng_state_2.pth +1 -1
- last-checkpoint/rng_state_3.pth +1 -1
- last-checkpoint/rng_state_4.pth +1 -1
- last-checkpoint/rng_state_5.pth +1 -1
- last-checkpoint/rng_state_6.pth +1 -1
- last-checkpoint/rng_state_7.pth +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +1285 -3
last-checkpoint/optimizer.pt
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last-checkpoint/rng_state_0.pth
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last-checkpoint/rng_state_1.pth
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last-checkpoint/rng_state_2.pth
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last-checkpoint/rng_state_3.pth
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last-checkpoint/rng_state_4.pth
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last-checkpoint/rng_state_5.pth
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last-checkpoint/rng_state_6.pth
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last-checkpoint/rng_state_7.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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{
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"best_metric": null,
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"epoch": 2.
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"eval_steps": 500,
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"global_step":
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"is_hyper_param_search": false,
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"eval_samples_per_second": 69.495,
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"eval_steps_per_second": 2.205,
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"step": 365
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| 2581 |
}
|
| 2582 |
],
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| 2583 |
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|
|
@@ -2597,7 +3879,7 @@
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| 2597 |
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| 2599 |
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| 2578 |
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