End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 33.293978748524204
+      value: 0.34061393152302244
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7876
-- Wer Ortho: 33.1277
-- Wer: 33.2940
+- Loss: 0.9112
+- Wer Ortho: 0.3374
+- Wer: 0.3406
 
 ## Model description
 
@@ -58,25 +58,31 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 2000
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0006        | 17.8571 | 500  | 0.6634          | 32.8809   | 32.9988 |
-| 0.0002        | 35.7143 | 1000 | 0.7228          | 32.5725   | 32.7627 |
-| 0.0001        | 53.5714 | 1500 | 0.7594          | 32.2023   | 32.3495 |
-| 0.0001        | 71.4286 | 2000 | 0.7876          | 33.1277   | 33.2940 |
+| Training Loss | Epoch    | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:--------:|:----:|:---------------:|:---------:|:------:|
+| 0.0006        | 17.8571  | 500  | 0.6628          | 0.3239    | 0.3247 |
+| 0.0002        | 35.7143  | 1000 | 0.7220          | 0.3263    | 0.3276 |
+| 0.0001        | 53.5714  | 1500 | 0.7574          | 0.3226    | 0.3241 |
+| 0.0001        | 71.4286  | 2000 | 0.7868          | 0.3300    | 0.3312 |
+| 0.0           | 89.2857  | 2500 | 0.8103          | 0.3319    | 0.3329 |
+| 0.0           | 107.1429 | 3000 | 0.8325          | 0.3331    | 0.3353 |
+| 0.0           | 125.0    | 3500 | 0.8530          | 0.3356    | 0.3383 |
+| 0.0           | 142.8571 | 4000 | 0.8730          | 0.3337    | 0.3371 |
+| 0.0           | 160.7143 | 4500 | 0.8927          | 0.3344    | 0.3371 |
+| 0.0           | 178.5714 | 5000 | 0.9112          | 0.3374    | 0.3406 |
 
 
 ### Framework versions
 
-- Transformers 4.49.0
-- Pytorch 2.6.0+cu124
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
 - Datasets 2.15.0
-- Tokenizers 0.21.1
+- Tokenizers 0.21.0

config.json

@@ -54,7 +54,7 @@
   "pad_token_id": 50257,
   "scale_embedding": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.49.0",
+  "transformers_version": "4.47.0",
   "use_cache": false,
   "use_weighted_layer_sum": false,
   "vocab_size": 51865

generation_config.json

@@ -244,5 +244,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.49.0"
+  "transformers_version": "4.47.0"
 }

model.safetensors

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runs/Mar23_15-16-25_e8336f4a552a/events.out.tfevents.1742742988.e8336f4a552a.31.0

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training_args.bin

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