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--- |
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base_model: CohereForAI/aya-expanse-8b |
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library_name: peft |
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license: other |
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tags: |
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- llama-factory |
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- lora |
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- unsloth |
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- generated_from_trainer |
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model-index: |
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- name: la-cohere-aya-expanse-8b-8k_4bit_r32_alpha_16_lr1e-4_3ep |
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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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# la-cohere-aya-expanse-8b-8k_4bit_r32_alpha_16_lr1e-4_3ep |
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This model is a fine-tuned version of [CohereForAI/aya-expanse-8b](https://huggingface.co./CohereForAI/aya-expanse-8b) on the la_chat_data_v4 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3464 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 0.5011 | 0.6649 | 10000 | 0.4348 | |
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| 0.4008 | 1.3299 | 20000 | 0.3684 | |
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| 0.4035 | 1.9948 | 30000 | 0.3464 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.46.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.20.3 |
