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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: 0.7065
## 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
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