Upload adapter model
Browse files- README.md +3 -3
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- all_results.json +10 -10
- checkpoint-366/adapter_config.json +4 -4
- checkpoint-366/adapter_model.safetensors +1 -1
- checkpoint-366/optimizer.pt +1 -1
- checkpoint-366/trainer_state.json +110 -110
- checkpoint-366/training_args.bin +1 -1
- eval_results.json +5 -5
- runs/Dec30_16-32-59_542f969342da/events.out.tfevents.1735576597.542f969342da.2955.0 +3 -0
- runs/Dec30_16-32-59_542f969342da/events.out.tfevents.1735582358.542f969342da.2955.1 +3 -0
- train_results.json +6 -6
- trainer_log.jsonl +37 -37
- trainer_state.json +116 -116
- training_args.bin +1 -1
- training_loss.png +0 -0
README.md
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- lora
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model-index:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the identity and the gsm8k_ig datasets.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- lora
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- generated_from_trainer
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model-index:
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- name: gsm8k
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gsm8k
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the identity and the gsm8k_ig datasets.
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It achieves the following results on the evaluation set:
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- Loss: 0.4402
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## Model description
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adapter_config.json
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