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: 25.68
-    - name: Wer
-      type: wer
-      value: 71.04907699234579
+- name: whisper-small-ga2en-v3.1
+  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-v3.1
 
-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
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 
 ## Model description
 
@@ -70,25 +39,9 @@ The following hyperparameters were used during training:
 - 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
+- training_steps: 2000
 - 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

model.safetensors

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runs/Apr16_19-38-52_dd38b424df97/events.out.tfevents.1713296366.dd38b424df97.215.1

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