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---
license: mit
base_model: HuggingFaceH4/zephyr-7b-beta
tags:
- generated_from_trainer
model-index:
- name: sft-zephyr-7b-beta-v1
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. -->
# sft-zephyr-7b-beta-v1
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: 0.4927
## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0538 | 0.19 | 50 | 1.1364 |
| 0.7744 | 0.37 | 100 | 0.7777 |
| 0.5936 | 0.56 | 150 | 0.6507 |
| 0.5449 | 0.74 | 200 | 0.6087 |
| 0.501 | 0.93 | 250 | 0.5840 |
| 0.5752 | 1.12 | 300 | 0.5552 |
| 0.4542 | 1.3 | 350 | 0.5419 |
| 0.5115 | 1.49 | 400 | 0.5243 |
| 0.4224 | 1.67 | 450 | 0.5188 |
| 0.4486 | 1.86 | 500 | 0.5055 |
| 0.3865 | 2.04 | 550 | 0.5038 |
| 0.4193 | 2.23 | 600 | 0.5048 |
| 0.4294 | 2.42 | 650 | 0.4995 |
| 0.4077 | 2.6 | 700 | 0.5014 |
| 0.4667 | 2.79 | 750 | 0.4985 |
| 0.4226 | 2.97 | 800 | 0.4937 |
| 0.4195 | 3.16 | 850 | 0.4920 |
| 0.338 | 3.35 | 900 | 0.4923 |
| 0.3943 | 3.53 | 950 | 0.4926 |
| 0.3953 | 3.72 | 1000 | 0.4927 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.0
|