---
license: mit
base_model: HuggingFaceH4/zephyr-7b-beta
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-ikat
  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. -->

# zephyr-7b-ikat

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5166

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7437        | 0.62  | 17   | 0.6867          |
| 0.6372        | 1.63  | 35   | 0.6215          |
| 0.6078        | 2.64  | 53   | 0.5859          |
| 0.5724        | 3.62  | 70   | 0.5625          |
| 0.5613        | 4.63  | 88   | 0.5448          |
| 0.5427        | 5.64  | 106  | 0.5337          |
| 0.5388        | 6.62  | 123  | 0.5274          |
| 0.5284        | 7.63  | 141  | 0.5229          |
| 0.5285        | 8.64  | 159  | 0.5188          |
| 0.5222        | 9.61  | 176  | 0.5165          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1