End of training

README.md

@@ -1,19 +1,47 @@
 ---
+language:
+- ga
+- en
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
+datasets:
+- ymoslem/IWSLT2023-GA-EN
+- ymoslem/FLEURS-GA-EN
+- ymoslem/BitesizeIrish-GA-EN
+metrics:
+- bleu
+- wer
 model-index:
-- name: whisper-small-ga2en-v1.3
-  results: []
+- name: Whisper Small GA-EN Speech Translation, fine-tuned from 1.2, without SpokenWords
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: IWSLT-2023, FLEURS, and BiteSize
+      type: ymoslem/IWSLT2023-GA-EN
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 29.96
+    - name: Wer
+      type: wer
+      value: 66.9968482665466
 ---
 
 <!-- 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. -->
 
-# whisper-small-ga2en-v1.3
+# Whisper Small GA-EN Speech Translation, fine-tuned from 1.2, without SpokenWords
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the IWSLT-2023, FLEURS, and BiteSize dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7177
+- Bleu: 29.96
+- Chrf: 45.61
+- Wer: 66.9968
 
 ## Model description
 
@@ -42,6 +70,62 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Bleu  | Chrf  | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:-----:|:-----:|:---------------:|:--------:|
+| 2.4954        | 0.11  | 100  | 3.7   | 18.03 | 2.1286          | 179.7839 |
+| 2.045         | 0.22  | 200  | 12.65 | 25.53 | 1.8146          | 100.9005 |
+| 1.7928        | 0.32  | 300  | 13.78 | 30.2  | 1.7253          | 101.9811 |
+| 1.6615        | 0.43  | 400  | 15.8  | 31.88 | 1.6834          | 92.5259  |
+| 1.4491        | 0.54  | 500  | 15.61 | 36.27 | 1.5971          | 107.3841 |
+| 1.2074        | 0.65  | 600  | 19.92 | 36.31 | 1.5939          | 84.3314  |
+| 1.2308        | 0.76  | 700  | 20.37 | 38.72 | 1.5234          | 84.8267  |
+| 1.107         | 0.86  | 800  | 21.35 | 37.87 | 1.5460          | 82.8906  |
+| 0.9491        | 0.97  | 900  | 21.06 | 40.74 | 1.5161          | 82.5754  |
+| 0.384         | 1.08  | 1000 | 23.24 | 41.98 | 1.4927          | 82.2152  |
+| 0.362         | 1.19  | 1100 | 23.19 | 42.24 | 1.5567          | 80.2792  |
+| 0.3756        | 1.29  | 1200 | 27.83 | 43.8  | 1.5265          | 69.2481  |
+| 0.3401        | 1.4   | 1300 | 21.79 | 41.66 | 1.5522          | 92.3908  |
+| 0.3346        | 1.51  | 1400 | 24.61 | 42.15 | 1.5085          | 75.4615  |
+| 0.3101        | 1.62  | 1500 | 26.67 | 43.41 | 1.4933          | 70.7789  |
+| 0.3231        | 1.73  | 1600 | 27.95 | 42.82 | 1.4979          | 68.3026  |
+| 0.2665        | 1.83  | 1700 | 28.5  | 43.76 | 1.4977          | 68.1225  |
+| 0.2704        | 1.94  | 1800 | 28.15 | 43.87 | 1.5063          | 68.8429  |
+| 0.0769        | 2.05  | 1900 | 25.76 | 43.22 | 1.5162          | 77.6227  |
+| 0.0597        | 2.16  | 2000 | 25.04 | 43.15 | 1.5216          | 79.0635  |
+| 0.0743        | 2.27  | 2100 | 27.85 | 44.43 | 1.5313          | 68.3926  |
+| 0.0878        | 2.37  | 2200 | 27.54 | 43.96 | 1.5495          | 68.3476  |
+| 0.0712        | 2.48  | 2300 | 28.28 | 44.39 | 1.5355          | 65.8712  |
+| 0.0789        | 2.59  | 2400 | 28.64 | 44.75 | 1.5277          | 65.7812  |
+| 0.073         | 2.7   | 2500 | 29.09 | 44.65 | 1.5327          | 65.7812  |
+| 0.073         | 2.8   | 2600 | 25.26 | 43.44 | 1.5304          | 78.2981  |
+| 0.0697        | 2.91  | 2700 | 25.71 | 43.02 | 1.5460          | 78.4782  |
+| 0.0398        | 3.02  | 2800 | 28.26 | 44.71 | 1.5580          | 72.8501  |
+| 0.0302        | 3.13  | 2900 | 30.25 | 45.46 | 1.5688          | 66.1414  |
+| 0.0424        | 3.24  | 3000 | 29.88 | 45.21 | 1.5693          | 66.0964  |
+| 0.0397        | 3.34  | 3100 | 30.01 | 45.85 | 1.5934          | 65.6911  |
+| 0.0346        | 3.45  | 3200 | 30.2  | 45.8  | 1.5818          | 65.8262  |
+| 0.032         | 3.56  | 3300 | 29.81 | 46.5  | 1.5823          | 66.7267  |
+| 0.0348        | 3.67  | 3400 | 30.77 | 46.43 | 1.5752          | 64.6556  |
+| 0.0522        | 5.97  | 3500 | 1.6080| 29.69 | 45.47           | 65.8712  |
+| 0.0443        | 6.14  | 3600 | 1.6272| 29.54 | 44.71           | 65.1508  |
+| 0.0492        | 6.31  | 3700 | 1.6211| 29.3  | 45.36           | 68.3926  |
+| 0.0544        | 6.48  | 3800 | 1.6069| 30.08 | 44.39           | 64.9257  |
+| 0.0574        | 6.66  | 3900 | 1.6306| 28.86 | 44.6            | 66.2765  |
+| 0.0535        | 6.83  | 4000 | 1.6722| 27.92 | 43.48           | 67.9874  |
+| 0.0424        | 7.0   | 4100 | 1.6968| 27.48 | 44.29           | 70.3737  |
+| 0.0235        | 7.17  | 4200 | 1.6768| 27.97 | 45.34           | 70.0135  |
+| 0.0262        | 7.34  | 4300 | 1.6908| 28.77 | 45.74           | 68.3926  |
+| 0.0218        | 7.51  | 4400 | 1.6890| 28.97 | 46.57           | 69.5182  |
+| 0.0293        | 7.68  | 4500 | 1.6742| 29.51 | 45.38           | 68.8429  |
+| 0.0194        | 7.85  | 4600 | 1.6962| 29.63 | 45.18           | 67.9874  |
+| 0.0187        | 8.02  | 4700 | 1.6936| 30.1  | 45.28           | 66.0964  |
+| 0.0115        | 8.19  | 4800 | 1.7162| 30.0  | 46.02           | 67.6722  |
+| 0.0138        | 8.36  | 4900 | 1.7113| 30.34 | 46.01           | 66.6817  |
+| 0.0098        | 8.53  | 5000 | 1.7177| 29.96 | 45.61           | 66.9968  |
+
+
 ### Framework versions
 
 - Transformers 4.39.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:469683146728fb5e4d38e825310a71de263c3c2701ae3841124733d01fc69f7a
+oid sha256:e1f5c86cf3c030450c76958f86a536f891dd178ae53c000827c0a14969981a61
 size 966995080