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--- |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: NousResearch/Llama-2-7b-chat-hf |
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model-index: |
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- name: llama2-7b-chat-hf-english-to-hinglish |
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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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# llama2-7b-chat-hf-english-to-hinglish |
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1746 |
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- Rouge Scores: {'rouge1': 0.8885908254946812, 'rouge2': 0.7710863010584095, 'rougeL': 0.5959196285242199, 'rougeLsum': 0.8887611638083375} |
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- Bleu Scores: [0.9146534717527709, 0.8952839315431885, 0.8704729625819737, 0.8440396772968578] |
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- Gen Len: 2048.0 |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 3 |
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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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| 2.4347 | 1.0 | 19 | 2.2502 | {'rouge1': 0.8978799395571857, 'rouge2': 0.7786106895702147, 'rougeL': 0.5929935988553734, 'rougeLsum': 0.8979590919999867} | [0.8924998190589056, 0.8765058761668494, 0.8529072060046804, 0.8271335845757618] | 2048.0 | |
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| 2.1641 | 2.0 | 38 | 2.1817 | {'rouge1': 0.8908622699691104, 'rouge2': 0.787877924739433, 'rougeL': 0.5912826901692394, 'rougeLsum': 0.8911134776621241} | [0.9026796342264707, 0.887688173576005, 0.8645415966459645, 0.839085075553431] | 2048.0 | |
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| 2.085 | 3.0 | 57 | 2.1746 | {'rouge1': 0.8885908254946812, 'rouge2': 0.7710863010584095, 'rougeL': 0.5959196285242199, 'rougeLsum': 0.8887611638083375} | [0.9146534717527709, 0.8952839315431885, 0.8704729625819737, 0.8440396772968578] | 2048.0 | |
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### Framework versions |
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- PEFT 0.9.1.dev0 |
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- Transformers 4.37.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.1.dev0 |
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- Tokenizers 0.15.2 |
