Model save

README.md

@@ -1,5 +1,4 @@
 ---
-library_name: transformers
 license: apache-2.0
 base_model: openai/whisper-large-v3
 tags:
@@ -18,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4418
-- Wer: 35.7241
+- Loss: 0.7321
+- Wer: 40.6571
 
 ## Model description
 
@@ -47,7 +46,7 @@ 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
-- num_epochs: 1
+- num_epochs: 100
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -56,11 +55,29 @@ The following hyperparameters were used during training:
 |:-------------:|:------:|:----:|:---------------:|:-------:|
 | 0.7747        | 0.4292 | 100  | 0.4311          | 36.6994 |
 | 0.4882        | 0.8584 | 200  | 0.4418          | 35.7241 |
+| 0.3749        | 1.2876 | 300  | 0.4387          | 40.5617 |
+| 0.3644        | 1.7167 | 400  | 0.4506          | 40.1608 |
+| 0.3451        | 2.1459 | 500  | 0.4571          | 42.6225 |
+| 0.2678        | 2.5751 | 600  | 0.4558          | 38.1490 |
+| 0.2737        | 3.0043 | 700  | 0.4406          | 38.5621 |
+| 0.1576        | 3.4335 | 800  | 0.4937          | 42.0456 |
+| 0.1653        | 3.8627 | 900  | 0.4995          | 41.7987 |
+| 0.1113        | 4.2918 | 1000 | 0.5667          | 41.4100 |
+| 0.0957        | 4.7210 | 1100 | 0.5606          | 39.9237 |
+| 0.0817        | 5.1502 | 1200 | 0.6160          | 41.6984 |
+| 0.0534        | 5.5794 | 1300 | 0.6003          | 42.2313 |
+| 0.0549        | 6.0086 | 1400 | 0.5908          | 40.9724 |
+| 0.0315        | 6.4378 | 1500 | 0.6655          | 40.5031 |
+| 0.0364        | 6.8670 | 1600 | 0.7179          | 43.4389 |
+| 0.0278        | 7.2961 | 1700 | 0.6839          | 42.8009 |
+| 0.0251        | 7.7253 | 1800 | 0.6803          | 42.9891 |
+| 0.0228        | 8.1545 | 1900 | 0.7166          | 42.3047 |
+| 0.0197        | 8.5837 | 2000 | 0.7321          | 40.6571 |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
+- Transformers 4.43.4
 - Pytorch 2.4.1
 - Datasets 3.0.0
 - Tokenizers 0.19.1

generation_config.json

@@ -253,5 +253,5 @@
     "transcribe": 50360,
     "translate": 50359
   },
-  "transformers_version": "4.44.2"
+  "transformers_version": "4.43.4"
 }

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model-00002-of-00002.safetensors

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