Model save

README.md

@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-base-ft-cv-cy-en
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the DewiBrynJones/commonvoice_18_0_cy_en train main dataset.
+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: 0.5813
-- Wer: 1.2543
+- Loss: 0.5812
+- Wer: 0.3526
 
 ## Model description
 
@@ -54,13 +54,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| 1.2368        | 0.7075 | 1000 | 0.6446          | 0.9660 |
-| 0.8994        | 1.4149 | 2000 | 0.5813          | 1.2543 |
+| 0.6185        | 0.7075 | 1000 | 0.6446          | 0.3809 |
+| 0.4497        | 1.4149 | 2000 | 0.5812          | 0.3526 |
 
 
 ### Framework versions
 
-- Transformers 4.46.1
+- Transformers 4.46.2
 - Pytorch 2.5.1+cu124
 - Datasets 3.1.0
-- Tokenizers 0.20.1
+- Tokenizers 0.20.3

generation_config.json

@@ -142,7 +142,7 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
-  "language": "welsh",
+  "language": null,
   "max_initial_timestamp_index": 50,
   "max_length": 448,
   "no_timestamps_token_id": 50363,
@@ -244,5 +244,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.46.1"
+  "transformers_version": "4.46.2"
 }