Instructions to use tuanna08go/e4b4ed3f-4fcd-46b6-97e5-7cd116b4627a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/e4b4ed3f-4fcd-46b6-97e5-7cd116b4627a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "tuanna08go/e4b4ed3f-4fcd-46b6-97e5-7cd116b4627a") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 36, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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"logging_steps": 10,
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"should_training_stop":
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"global_step": 36,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 512.043,
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"eval_steps_per_second": 64.273,
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{
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"grad_norm": 1.3938124179840088,
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"learning_rate": 7.489143213519301e-06,
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"loss": 165.7968,
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"step": 30
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{
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"epoch": 0.9029982363315696,
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"eval_loss": 10.360464096069336,
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"eval_runtime": 0.5412,
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"eval_samples_per_second": 441.629,
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"eval_steps_per_second": 55.435,
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"step": 32
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"should_evaluate": false,
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