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English_32r_LoRA_10mins_new
xuliu15/English_32r_LoRA_10mins_new
English_32r_LoRA_10mins_new is a machine learning model from xuliu15. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 29, 2024
- Updated
- May 29, 2024
- SHA
- 59a79f34
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
LoRA-English-10m
This model is a fine-tuned version of openai/whisper-small on the librispeech dataset. It achieves the following results on the evaluation set:
- Loss: 0.2052
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: 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: 50
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 2.4022 |
| No log | 2.0 | 12 | 1.7738 |
| No log | 3.0 | 18 | 1.0358 |
| No log | 4.0 | 24 | 0.7506 |
| 0.9696 | 5.0 | 30 | 0.6126 |
| 0.9696 | 6.0 | 36 | 0.5719 |
| 0.9696 | 7.0 | 42 | 0.5161 |
| 0.9696 | 8.0 | 48 | 0.3983 |
| 0.2101 | 9.0 | 54 | 0.2375 |
| 0.2101 | 10.0 | 60 | 0.2141 |
| 0.2101 | 11.0 | 66 | 0.1953 |
| 0.2101 | 12.0 | 72 | 0.1938 |
| 0.0125 | 13.0 | 78 | 0.1997 |
| 0.0125 | 14.0 | 84 | 0.2035 |
| 0.0125 | 15.0 | 90 | 0.2038 |
| 0.0125 | 16.0 | 96 | 0.2036 |
| 0.0015 | 17.0 | 102 | 0.2023 |
| 0.0015 | 18.0 | 108 | 0.2017 |
| 0.0015 | 19.0 | 114 | 0.2016 |
| 0.0015 | 20.0 | 120 | 0.2015 |
| 0.0009 | 21.0 | 126 | 0.2017 |
| 0.0009 | 22.0 | 132 | 0.2022 |
| 0.0009 | 23.0 | 138 | 0.2025 |
| 0.0009 | 24.0 | 144 | 0.2029 |
| 0.0007 | 25.0 | 150 | 0.2033 |
| 0.0007 | 26.0 | 156 | 0.2034 |
| 0.0007 | 27.0 | 162 | 0.2036 |
| 0.0007 | 28.0 | 168 | 0.2039 |
| 0.0007 | 29.0 | 174 | 0.2042 |
| 0.0007 | 30.0 | 180 | 0.2045 |
| 0.0007 | 31.0 | 186 | 0.2047 |
| 0.0007 | 32.0 | 192 | 0.2048 |
| 0.0007 | 33.0 | 198 | 0.2048 |
| 0.0006 | 34.0 | 204 | 0.2049 |
| 0.0006 | 35.0 | 210 | 0.2049 |
| 0.0006 | 36.0 | 216 | 0.2050 |
| 0.0006 | 37.0 | 222 | 0.2051 |
| 0.0006 | 38.0 | 228 | 0.2051 |
| 0.0006 | 39.0 | 234 | 0.2052 |
| 0.0006 | 40.0 | 240 | 0.2052 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 29, 2024
- Updated
- May 29, 2024