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End of training

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  1. README.md +16 -16
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ model-index:
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  dataset:
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  name: 'This is a dataset constructed from two datasets: ATCO2-ASR and ATCOSIM.'
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  type: Jzuluaga/atcosim_corpus
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- args: 'config: en, split: test small split [1000]'
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  metrics:
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  - name: Wer
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  type: wer
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- value: 10.98401201307305
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the This is a dataset constructed from two datasets: ATCO2-ASR and ATCOSIM. dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3085
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- - Wer: 10.9840
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  ## Model description
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@@ -64,18 +64,18 @@ The following hyperparameters were used during training:
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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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- | 0.0592 | 1.5873 | 100 | 0.3288 | 12.5475 |
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- | 0.0098 | 3.1746 | 200 | 0.2988 | 11.6377 |
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- | 0.0041 | 4.7619 | 300 | 0.3032 | 12.9141 |
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- | 0.0011 | 6.3492 | 400 | 0.3109 | 11.2048 |
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- | 0.0009 | 7.9365 | 500 | 0.3067 | 10.9928 |
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- | 0.0004 | 9.5238 | 600 | 0.3071 | 10.7941 |
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- | 0.0002 | 11.1111 | 700 | 0.3075 | 10.9619 |
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- | 0.0002 | 12.6984 | 800 | 0.3081 | 10.9708 |
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- | 0.0001 | 14.2857 | 900 | 0.3084 | 11.0061 |
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- | 0.0001 | 15.8730 | 1000 | 0.3085 | 10.9840 |
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  ### Framework versions
 
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  dataset:
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  name: 'This is a dataset constructed from two datasets: ATCO2-ASR and ATCOSIM.'
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  type: Jzuluaga/atcosim_corpus
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+ args: 'config: en, split: test small split [3000]'
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 8.947972793922798
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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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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the This is a dataset constructed from two datasets: ATCO2-ASR and ATCOSIM. dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2504
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+ - Wer: 8.9480
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  ## Model description
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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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+ | 0.0569 | 0.5319 | 100 | 0.3078 | 11.7922 |
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+ | 0.0307 | 1.0638 | 200 | 0.2728 | 10.8515 |
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+ | 0.0253 | 1.5957 | 300 | 0.2762 | 10.7190 |
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+ | 0.0066 | 2.1277 | 400 | 0.2551 | 9.0761 |
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+ | 0.0061 | 2.6596 | 500 | 0.2526 | 9.5795 |
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+ | 0.002 | 3.1915 | 600 | 0.2504 | 9.0010 |
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+ | 0.0019 | 3.7234 | 700 | 0.2561 | 9.2880 |
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+ | 0.0007 | 4.2553 | 800 | 0.2535 | 9.1026 |
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+ | 0.001 | 4.7872 | 900 | 0.2495 | 8.9259 |
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+ | 0.0003 | 5.3191 | 1000 | 0.2504 | 8.9480 |
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  ### Framework versions
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