tensorboard safetensors trl sft generated_from_trainer base_model:HuggingFaceH4/zephyr-7b-beta license:mit region:us
---
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: 0.7065

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7779        | 0.35  | 100  | 1.0474          |
| 0.6553        | 0.69  | 200  | 0.8922          |
| 0.6339        | 1.04  | 300  | 0.7221          |
| 0.6018        | 1.39  | 400  | 0.7020          |
| 0.5853        | 1.74  | 500  | 0.6908          |
| 0.445         | 2.08  | 600  | 0.6887          |
| 0.4875        | 2.43  | 700  | 0.6783          |
| 0.4938        | 2.78  | 800  | 0.6883          |
| 0.3598        | 3.12  | 900  | 0.6893          |
| 0.3549        | 3.47  | 1000 | 0.6763          |
| 0.3624        | 3.82  | 1100 | 0.6971          |
| 0.344         | 4.17  | 1200 | 0.7348          |
| 0.3393        | 4.51  | 1300 | 0.7502          |
| 0.3823        | 4.86  | 1400 | 0.6861          |
| 0.3534        | 5.21  | 1500 | 0.6849          |
| 0.3632        | 5.56  | 1600 | 0.6585          |
| 0.3634        | 5.9   | 1700 | 0.6414          |
| 0.3002        | 6.25  | 1800 | 0.6662          |
| 0.3126        | 6.6   | 1900 | 0.6864          |
| 0.3129        | 6.94  | 2000 | 0.6638          |
| 0.259         | 7.29  | 2100 | 0.6967          |
| 0.27          | 7.64  | 2200 | 0.7059          |
| 0.3063        | 7.99  | 2300 | 0.6582          |
| 0.2814        | 8.33  | 2400 | 0.7205          |
| 0.3005        | 8.68  | 2500 | 0.7334          |
| 0.2862        | 9.03  | 2600 | 0.6839          |
| 0.3092        | 9.38  | 2700 | 0.6929          |
| 0.3078        | 9.72  | 2800 | 0.7065          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
