File size: 1,409 Bytes
b819feb |
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 |
---
language:
- fy
base_model: distil-small.en
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_6_1
model-index:
- name: DistilFT-Frisian-10h
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. -->
# DistilFT-Frisian-10h
This model is a fine-tuned version of [distil-small.en](https://huggingface.co/distil-small.en) on the mozilla-foundation/common_voice_6_fy_NL dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3027
- eval_wer: 61.4400
- eval_runtime: 570.9376
- eval_samples_per_second: 5.29
- eval_steps_per_second: 0.662
- epoch: 4.8128
- step: 4500
## 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-06
- 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: 250
- training_steps: 5000
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|