File size: 1,750 Bytes
ce2ca75 128140b ce2ca75 128140b ce2ca75 128140b e4e1ee0 ce2ca75 128140b e4e1ee0 128140b e4e1ee0 6cd44ce 128140b e4e1ee0 ce2ca75 128140b ce2ca75 128140b e4e1ee0 6cd44ce e4e1ee0 ce2ca75 6cd44ce ce2ca75 6cd44ce ce2ca75 6cd44ce ce2ca75 |
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 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
---
language:
- tr
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- a
metrics:
- wer
model-index:
- name: mms tr
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: a
type: a
config: default
split: train
args: 'config: tr, split: test'
metrics:
- name: Wer
type: wer
value: 1.0
---
<!-- 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. -->
# mms tr
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the a dataset.
It achieves the following results on the evaluation set:
- Loss: 93.8163
- Wer: 1.0
## 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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| No log | 0.33 | 1 | 169.9452 | 1.0 |
| No log | 0.67 | 2 | 115.9592 | 1.0 |
| No log | 1.0 | 3 | 93.8163 | 1.0 |
### Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
|