File size: 1,444 Bytes
125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f 125148c 2239d3f |
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 |
---
license: apache-2.0
base_model: Samuael/asr-amharic-phoneme-based-233
tags:
- generated_from_trainer
datasets:
- alffa_amharic
model-index:
- name: character_based_tigre_233
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. -->
# character_based_tigre_233
This model is a fine-tuned version of [Samuael/asr-amharic-phoneme-based-233](https://huggingface.co/Samuael/asr-amharic-phoneme-based-233) on the alffa_amharic dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.0735
- eval_wer: 0.6463
- eval_cer: 0.2341
- eval_runtime: 14.3391
- eval_samples_per_second: 6.556
- eval_steps_per_second: 0.837
- epoch: 5.6
- step: 140
## 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: 0.0005
- train_batch_size: 8
- 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: 1
- num_epochs: 10
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|