Model save

README.md

@@ -1,37 +1,19 @@
 ---
-language:
-- ga
-- en
 license: apache-2.0
 base_model: openai/whisper-medium
 tags:
 - generated_from_trainer
-datasets:
-- ymoslem/IWSLT2023-GA-EN
-- ymoslem/FLEURS-GA-EN
-- ymoslem/BitesizeIrish-GA-EN
-- ymoslem/SpokenWords-GA-EN-MTed
 model-index:
-- name: Whisper Medium GA-EN Speech Translation
+- name: whisper-medium-ga2en-v2
   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 Medium GA-EN Speech Translation
+# whisper-medium-ga2en-v2
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
-It achieves the following results on the evaluation set:
-- epoch: 0.49
-- eval_bleu: 30.37
-- eval_chrf: 50.78
-- eval_loss: 1.0718
-- eval_runtime: 116.0928
-- eval_samples_per_second: 2.989
-- eval_steps_per_second: 0.19
-- eval_wer: 68.6628
-- step: 1500
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 
 ## Model description
 

model.safetensors

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