File size: 1,322 Bytes
43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 43313e8 9f419a3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
model-index:
- name: asr_model
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. -->
# asr_model
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3621
- eval_wer: 0.3900
- eval_runtime: 58.7393
- eval_samples_per_second: 4.75
- eval_steps_per_second: 0.596
- epoch: 0.895
- step: 1790
## 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: 0.001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 2000
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|