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

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: 0.4475

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- total_eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5796        | 0.62  | 34   | 0.5780          |
| 0.5119        | 1.62  | 68   | 0.5122          |
| 0.4799        | 2.63  | 103  | 0.4831          |
| 0.4712        | 3.62  | 137  | 0.4706          |
| 0.4615        | 4.63  | 172  | 0.4631          |
| 0.4584        | 5.62  | 206  | 0.4574          |
| 0.4524        | 6.63  | 241  | 0.4529          |
| 0.4507        | 7.62  | 275  | 0.4502          |
| 0.4478        | 8.63  | 310  | 0.4480          |
| 0.4467        | 9.62  | 344  | 0.4475          |


### Framework versions

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