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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: 0.6570
## 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: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0381 | 0.17 | 50 | 1.1373 |
| 0.7645 | 0.35 | 100 | 1.0030 |
| 0.7008 | 0.52 | 150 | 0.8769 |
| 0.6463 | 0.69 | 200 | 0.8396 |
| 0.6139 | 0.87 | 250 | 0.7906 |
| 0.6415 | 1.04 | 300 | 0.7021 |
| 0.5952 | 1.22 | 350 | 0.6840 |
| 0.5802 | 1.39 | 400 | 0.7160 |
| 0.6116 | 1.56 | 450 | 0.6585 |
| 0.5921 | 1.74 | 500 | 0.6428 |
| 0.5532 | 1.91 | 550 | 0.6181 |
| 0.4655 | 2.08 | 600 | 0.6465 |
| 0.4249 | 2.26 | 650 | 0.6487 |
| 0.4441 | 2.43 | 700 | 0.6431 |
| 0.4652 | 2.6 | 750 | 0.6256 |
| 0.4325 | 2.78 | 800 | 0.6412 |
| 0.4728 | 2.95 | 850 | 0.6173 |
| 0.3161 | 3.12 | 900 | 0.6945 |
| 0.3375 | 3.3 | 950 | 0.6501 |
| 0.3509 | 3.47 | 1000 | 0.6561 |
| 0.3519 | 3.65 | 1050 | 0.6765 |
| 0.3379 | 3.82 | 1100 | 0.6570 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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