---
base_model: lnxdx/B2_1000_1e-5_hp-mehrdad
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: C1_1000_1e-5_mehrdad
  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. -->

# C1_1000_1e-5_mehrdad

This model is a fine-tuned version of [lnxdx/B2_1000_1e-5_hp-mehrdad](https://huggingface.co/lnxdx/B2_1000_1e-5_hp-mehrdad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6620
- Wer: 0.3151

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7062        | 0.62  | 100  | 0.6594          | 0.3160 |
| 0.7111        | 1.25  | 200  | 0.6545          | 0.3178 |
| 0.7094        | 1.88  | 300  | 0.6425          | 0.3218 |
| 0.649         | 2.5   | 400  | 0.6549          | 0.3186 |
| 0.6436        | 3.12  | 500  | 0.6657          | 0.3154 |
| 0.6541        | 3.75  | 600  | 0.6530          | 0.3172 |
| 0.6317        | 4.38  | 700  | 0.6601          | 0.3151 |
| 0.6405        | 5.0   | 800  | 0.6589          | 0.3180 |
| 0.6284        | 5.62  | 900  | 0.6641          | 0.3143 |
| 0.6287        | 6.25  | 1000 | 0.6620          | 0.3151 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0