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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: 0.4427
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6943 | 0.5 | 50 | 0.6478 |
| 0.5485 | 1.0 | 100 | 0.5314 |
| 0.4163 | 1.5 | 150 | 0.5019 |
| 0.3924 | 2.0 | 200 | 0.4376 |
| 0.3311 | 2.5 | 250 | 0.4994 |
| 0.3167 | 3.0 | 300 | 0.4327 |
| 0.2694 | 3.5 | 350 | 0.4408 |
| 0.2475 | 4.0 | 400 | 0.4265 |
| 0.2271 | 4.5 | 450 | 0.4136 |
| 0.2442 | 5.0 | 500 | 0.4427 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
|