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---
license: mit
base_model: HuggingFaceH4/zephyr-7b-beta
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: results
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. -->
# results
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5273
## 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: 0.00025
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1126 | 0.38 | 50 | 0.9045 |
| 0.781 | 0.76 | 100 | 0.7953 |
| 0.6092 | 1.14 | 150 | 0.6737 |
| 0.5484 | 1.52 | 200 | 0.6842 |
| 0.5078 | 1.89 | 250 | 0.5686 |
| 0.3905 | 2.27 | 300 | 0.6194 |
| 0.4328 | 2.65 | 350 | 0.5543 |
| 0.3872 | 3.03 | 400 | 0.5406 |
| 0.3147 | 3.41 | 450 | 0.5504 |
| 0.3327 | 3.79 | 500 | 0.5473 |
| 0.2734 | 4.17 | 550 | 0.5514 |
| 0.2972 | 4.55 | 600 | 0.5327 |
| 0.2974 | 4.92 | 650 | 0.5273 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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