Model save

README.md

@@ -1,50 +1,19 @@
 ---
-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 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
+- name: whisper-small-ga2en-v4
+  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 Small GA-EN Speech Translation
+# whisper-small-ga2en-v4
 
-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
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 
 ## Model description
 
@@ -69,26 +38,10 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 0.03
-- training_steps: 1000
+- lr_scheduler_warmup_steps: 0.01
+- training_steps: 2000
 - 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

runs/Apr18_11-10-25_3f8237e36747/events.out.tfevents.1713438696.3f8237e36747.395.1

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-size 29348
+oid sha256:0f6c6cf6de7a7a5b4fcee8b296b40c7ba98966022d55a62da3364fa6ec2ec502
+size 30960