Moreno La Quatra
commited on
Commit
•
595eccf
1
Parent(s):
a8b6e80
End of training
Browse files
.ipynb_checkpoints/README-checkpoint.md
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| 1 |
+
---
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+
license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: whisper-it-small-multids-augmented
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: common_voice_11_0
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type: common_voice_11_0
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config: it
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split: test
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args: it
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metrics:
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- name: Wer
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type: wer
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value: 8.749734212204975
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# whisper-it-small-multids-augmented
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1978
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- Wer: 8.7497
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 25000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.1927 | 1.0 | 2500 | 0.2506 | 14.9991 |
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| 0.0736 | 2.01 | 5000 | 0.2258 | 12.7864 |
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| 0.0413 | 3.01 | 7500 | 0.2144 | 11.4508 |
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| 0.0201 | 4.02 | 10000 | 0.2146 | 10.8774 |
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| 0.0129 | 5.02 | 12500 | 0.2127 | 10.6920 |
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| 0.0091 | 6.03 | 15000 | 0.2117 | 10.2867 |
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| 0.0043 | 7.03 | 17500 | 0.2076 | 9.6860 |
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| 0.0018 | 8.04 | 20000 | 0.2065 | 9.4235 |
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| 0.0013 | 9.04 | 22500 | 0.2003 | 8.9105 |
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| 0.0009 | 10.05 | 25000 | 0.1978 | 8.7497 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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all_results.json
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{
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"epoch": 10.05,
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"eval_loss": 0.19797834753990173,
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"eval_runtime": 3138.908,
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"eval_samples_per_second": 4.78,
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"eval_steps_per_second": 0.149,
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"eval_wer": 8.745747395279608,
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"train_loss": 0.05547703759074211,
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"train_runtime": 125201.2716,
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"train_samples_per_second": 12.779,
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"train_steps_per_second": 0.2
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}
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eval_results.json
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{
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"epoch": 10.05,
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"eval_loss": 0.19797834753990173,
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"eval_runtime": 3138.908,
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"eval_samples_per_second": 4.78,
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"eval_steps_per_second": 0.149,
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"eval_wer": 8.745747395279608
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}
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runs/Dec15_11-45-53_129-146-163-75/events.out.tfevents.1671233176.129-146-163-75.68366.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:a060d39ea2beeb2218a661a00a6d3acb72c74868464d1a5c412332103095d522
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size 364
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train_results.json
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{
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"epoch": 10.05,
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"train_loss": 0.05547703759074211,
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"train_runtime": 125201.2716,
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"train_samples_per_second": 12.779,
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"train_steps_per_second": 0.2
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}
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trainer_state.json
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| 1 |
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{
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"best_model_checkpoint": "whisper-it-small-multids-augmented/checkpoint-25000",
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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{
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| 11 |
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| 12 |
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| 13 |
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| 15 |
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},
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| 16 |
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{
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| 19 |
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| 21 |
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| 22 |
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{
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| 23 |
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| 24 |
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| 25 |
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| 27 |
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| 28 |
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{
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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{
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| 35 |
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