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-v4
-  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: 23.1
+    - name: Wer
+      type: wer
+      value: 82.89058982440342
 ---
 
 <!-- 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-v4
+# 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: 1.2172
+- Bleu: 23.1
+- Chrf: 42.54
+- Wer: 82.8906
 
 ## 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      |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|:-----:|:--------:|
+| 2.8459        | 0.07  | 100  | 2.0769          | 3.28  | 18.43 | 149.0770 |
+| 2.3328        | 0.13  | 200  | 1.8396          | 4.5   | 22.06 | 207.7443 |
+| 2.1669        | 0.2   | 300  | 1.6215          | 14.6  | 30.8  | 89.1941  |
+| 1.8606        | 0.26  | 400  | 1.5030          | 14.65 | 33.33 | 92.4358  |
+| 1.7255        | 0.33  | 500  | 1.4085          | 14.9  | 35.14 | 103.8271 |
+| 1.5855        | 0.39  | 600  | 1.3587          | 15.78 | 35.02 | 103.0617 |
+| 1.5875        | 0.46  | 700  | 1.2986          | 25.3  | 41.37 | 69.4732  |
+| 1.44          | 0.53  | 800  | 1.2575          | 25.78 | 42.23 | 70.0585  |
+| 1.3317        | 0.59  | 900  | 1.2338          | 23.24 | 41.64 | 79.1085  |
+| 1.3166        | 0.66  | 1000 | 1.2172          | 23.1  | 42.54 | 82.8906  |
+
+
 ### Framework versions
 
 - Transformers 4.39.3