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---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att
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. -->
# libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 43.3741
- Wer: 0.4535
## 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: 0.002
- train_batch_size: 8
- eval_batch_size: 1
- 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_ratio: 0.2
- num_epochs: 40
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1062.9452 | 0.45 | 400 | 45.3735 | 0.5247 |
| 938.9115 | 0.9 | 800 | 42.2431 | 0.4830 |
| 838.9108 | 1.35 | 1200 | 40.3582 | 0.4517 |
| 815.9835 | 1.79 | 1600 | 39.1145 | 0.4403 |
| 815.1952 | 2.24 | 2000 | 40.4637 | 0.4417 |
| 783.388 | 2.69 | 2400 | 39.3749 | 0.4312 |
| 786.6658 | 3.14 | 2800 | 41.7742 | 0.4450 |
| 785.0494 | 3.59 | 3200 | 42.3615 | 0.4562 |
| 808.8199 | 4.04 | 3600 | 43.4402 | 0.4527 |
| 765.5683 | 4.48 | 4000 | 43.2136 | 0.4505 |
| 803.3544 | 4.93 | 4400 | 43.3741 | 0.4535 |
### Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.11.0
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