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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: mistralai/Mixtral-8x7B-Instruct-v0.1 |
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model-index: |
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- name: mixtral-8x7b-instruct-v0.1-english-to-hinglish-translation |
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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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# mixtral-8x7b-instruct-v0.1-english-to-hinglish-translation |
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This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8719 |
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- Rouge Scores: {'rouge1': 93.54182106152926, 'rouge2': 86.05446823709033, 'rougeL': 88.96922992123118, 'rougeLsum': 93.53351107529416} |
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- Bleu Scores: [0.0005895581385084092, 0.0005810015690343468, 0.0005667645554887882, 0.0005509301891024064] |
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- Gen Len: 2047.998 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 2 |
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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 | Rouge Scores | Bleu Scores | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------:|:--------:| |
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| 0.9944 | 1.0 | 500 | 0.8572 | {'rouge1': 93.66433639177112, 'rouge2': 86.16312209617104, 'rougeL': 88.96569028246026, 'rougeLsum': 93.65082127462976} | [0.000581715028380836, 0.0005735131190908485, 0.000559640714092523, 0.0005441766968373427] | 2047.998 | |
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| 0.6294 | 2.0 | 1000 | 0.8719 | {'rouge1': 93.54182106152926, 'rouge2': 86.05446823709033, 'rougeL': 88.96922992123118, 'rougeLsum': 93.53351107529416} | [0.0005895581385084092, 0.0005810015690343468, 0.0005667645554887882, 0.0005509301891024064] | 2047.998 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.1 |
