End of training

README.md

@@ -1,19 +1,50 @@
 ---
+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
+- ymoslem/SpokenWords-GA-EN-MTed
+- ymoslem/Tatoeba-Speech-Irish
+- ymoslem/Wikimedia-Speech-Irish
+metrics:
+- bleu
+- wer
 model-index:
-- name: whisper-small-ga2en-v3.1
-  results: []
+- name: Whisper Small GA-EN Speech Translation
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia
+      type: ymoslem/IWSLT2023-GA-EN
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 25.68
+    - name: Wer
+      type: wer
+      value: 71.04907699234579
 ---
 
 <!-- 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-v3.1
+# Whisper Small GA-EN Speech Translation
 
-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, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1571
+- Bleu: 25.68
+- Chrf: 45.53
+- Wer: 71.0491
 
 ## Model description
 
@@ -42,6 +73,22 @@ The following hyperparameters were used during training:
 - training_steps: 1000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu  | Chrf  | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|:-----:|:--------:|
+| 2.6685        | 0.07  | 100  | 2.0544          | 5.05  | 20.18 | 139.8919 |
+| 2.4028        | 0.13  | 200  | 1.7367          | 12.29 | 29.72 | 95.5425  |
+| 2.1231        | 0.2   | 300  | 1.6141          | 14.33 | 30.77 | 101.3958 |
+| 1.9192        | 0.26  | 400  | 1.4778          | 16.86 | 35.65 | 91.0851  |
+| 1.7129        | 0.33  | 500  | 1.3811          | 16.77 | 37.53 | 93.8766  |
+| 1.5398        | 0.39  | 600  | 1.3427          | 18.85 | 39.0  | 90.2296  |
+| 1.4257        | 0.46  | 700  | 1.2784          | 25.73 | 43.3  | 70.3287  |
+| 1.3044        | 0.53  | 800  | 1.2274          | 25.43 | 44.33 | 72.3548  |
+| 1.2626        | 0.59  | 900  | 1.1875          | 25.09 | 44.62 | 72.6249  |
+| 1.2801        | 0.66  | 1000 | 1.1571          | 25.68 | 45.53 | 71.0491  |
+
+
 ### Framework versions
 
 - Transformers 4.39.3