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--- |
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license: other |
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base_model: HuggingFaceM4/idefics-9b-instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: idefics-9b-instruct-ft-instruct-compact |
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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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# idefics-9b-instruct-ft-instruct-compact |
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This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https://huggingface.co/HuggingFaceM4/idefics-9b-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.7449 | 0.18 | 25 | 3.3985 | |
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| 2.0448 | 0.36 | 50 | 1.6004 | |
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| 0.7728 | 0.54 | 75 | 0.5974 | |
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| 0.5519 | 0.73 | 100 | 0.5353 | |
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| 0.5128 | 0.91 | 125 | nan | |
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| 6.5038 | 1.09 | 150 | nan | |
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| 8.2169 | 1.27 | 175 | nan | |
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| 3.1474 | 1.45 | 200 | nan | |
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| 3.2837 | 1.63 | 225 | nan | |
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| 2.7581 | 1.81 | 250 | nan | |
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| 6.01 | 2.0 | 275 | nan | |
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| 5.9971 | 2.18 | 300 | nan | |
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| 6.5173 | 2.36 | 325 | nan | |
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| 10.7043 | 2.54 | 350 | nan | |
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| 2.5312 | 2.72 | 375 | nan | |
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| 3.013 | 2.9 | 400 | nan | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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