End of training

README.md

@@ -3,17 +3,25 @@ license: apache-2.0
 base_model: openai/whisper-base
 tags:
 - generated_from_trainer
+metrics:
+- bleu
+- wer
 model-index:
-- name: whisper-base-ga2en-v1.1
+- name: Whisper Base GA-EN Speech Translation
   results: []
 ---
 
 <!-- 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-base-ga2en-v1.1
+# Whisper Base GA-EN Speech Translation
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2482
+- Bleu: 20.8
+- Chrf: 35.56
+- Wer: 84.0162
 
 ## Model description
 
@@ -42,6 +50,22 @@ 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      |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|:-----:|:--------:|
+| 1.5709        | 0.37  | 100  | 2.1099          | 5.49  | 22.56 | 144.5745 |
+| 0.9426        | 0.74  | 200  | 2.0613          | 10.65 | 26.37 | 130.0315 |
+| 0.3912        | 1.12  | 300  | 2.1207          | 13.43 | 29.77 | 103.9172 |
+| 0.3943        | 1.49  | 400  | 2.1177          | 16.64 | 32.27 | 97.3435  |
+| 0.3605        | 1.86  | 500  | 2.1689          | 18.41 | 32.69 | 87.1679  |
+| 0.1164        | 2.23  | 600  | 2.1506          | 20.49 | 33.74 | 82.3953  |
+| 0.1371        | 2.6   | 700  | 2.1397          | 19.86 | 34.97 | 84.9167  |
+| 0.1263        | 2.97  | 800  | 2.1849          | 21.11 | 34.92 | 81.3147  |
+| 0.049         | 3.35  | 900  | 2.2424          | 21.24 | 35.22 | 83.6110  |
+| 0.0462        | 3.72  | 1000 | 2.2482          | 20.8  | 35.56 | 84.0162  |
+
+
 ### Framework versions
 
 - Transformers 4.39.2