End of training

README.md

@@ -6,8 +6,6 @@ base_model: openai/whisper-base
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
-datasets:
-- common_voice_16_1
 model-index:
 - name: ft_model
   results: []
@@ -19,9 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # ft_model
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5946
-- Cer: 16.1162
 
 ## Model description
 
@@ -42,7 +37,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
 - train_batch_size: 1
-- eval_batch_size: 1
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -52,15 +47,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Cer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.7715        | 0.05  | 1000 | 0.6407          | 19.5562 |
-| 0.4602        | 0.1   | 2000 | 0.5946          | 16.1162 |
 
 
 ### Framework versions
 
-- Transformers 4.37.0.dev0
+- Transformers 4.38.0.dev0
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
 - Tokenizers 0.15.0

generation_config.json

@@ -251,5 +251,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.37.0.dev0"
+  "transformers_version": "4.38.0.dev0"
 }