End of training

README.md

@@ -6,7 +6,7 @@ base_model: openai/whisper-small.en
 tags:
 - generated_from_trainer
 datasets:
-- bika5/pfedrx
+- bika5/pfedrax
 metrics:
 - wer
 model-index:
@@ -16,13 +16,13 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: pfedrx
-      type: bika5/pfedrx
+      name: pfedrax
+      type: bika5/pfedrax
       args: 'config: en, split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 78.76106194690266
+      value: 92.92035398230088
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper pfe - bika5
 
-This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the pfedrx dataset.
+This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the pfedrax dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8848
-- Wer: 78.7611
+- Loss: 3.6101
+- Model Preparation Time: 0.006
+- Wer: 92.9204
 
 ## Model description
 
@@ -59,21 +60,20 @@ 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: 500
-- training_steps: 3000
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0001        | 500.0  | 1000 | 1.7067          | 78.7611 |
-| 0.0001        | 1000.0 | 2000 | 1.8479          | 78.7611 |
-| 0.0           | 1500.0 | 3000 | 1.8848          | 78.7611 |
+| Training Loss | Epoch    | Step | Validation Loss | Model Preparation Time | Wer     |
+|:-------------:|:--------:|:----:|:---------------:|:----------------------:|:-------:|
+| 0.0001        | 83.3333  | 1000 | 3.5216          | 0.006                  | 92.9204 |
+| 0.0           | 166.6667 | 2000 | 3.6101          | 0.006                  | 92.9204 |
 
 
 ### Framework versions
 
-- Transformers 4.41.0.dev0
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Transformers 4.43.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
 - Tokenizers 0.19.1

config.json

@@ -45,7 +45,7 @@
   "scale_embedding": false,
   "suppress_tokens": [],
   "torch_dtype": "float32",
-  "transformers_version": "4.41.0.dev0",
+  "transformers_version": "4.43.0.dev0",
   "use_cache": true,
   "use_weighted_layer_sum": false,
   "vocab_size": 51864

generation_config.json

@@ -188,5 +188,5 @@
     50360,
     50361
   ],
-  "transformers_version": "4.41.0.dev0"
+  "transformers_version": "4.43.0.dev0"
 }

model.safetensors

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 size 966992008

runs/Jul06_13-20-54_ebda98d46a64/events.out.tfevents.1720272062.ebda98d46a64.601.0

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training_args.bin

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