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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model-index:
- name: mixtral-8x7b-instruct-v0.1-english-to-hinglish-translation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mixtral-8x7b-instruct-v0.1-english-to-hinglish-translation
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.
It achieves the following results on the evaluation set:
- Loss: 0.8719
- Rouge Scores: {'rouge1': 93.54182106152926, 'rouge2': 86.05446823709033, 'rougeL': 88.96922992123118, 'rougeLsum': 93.53351107529416}
- Bleu Scores: [0.0005895581385084092, 0.0005810015690343468, 0.0005667645554887882, 0.0005509301891024064]
- Gen Len: 2047.998
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge Scores | Bleu Scores | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-----------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------:|:--------:|
| 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 |
| 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 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.16.2.dev0
- Tokenizers 0.15.1 |