Model save

README.md

@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 # output_0408
 
 This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3882
 
 ## Model description
 
@@ -40,11 +42,17 @@ 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: 2
-- training_steps: 20
+- training_steps: 100
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.412         | 1.14  | 25   | 1.4146          |
+| 1.3417        | 2.27  | 50   | 1.4030          |
+| 1.428         | 3.41  | 75   | 1.3925          |
+| 1.368         | 4.55  | 100  | 1.3882          |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 2623752

runs/Apr08_07-32-24_3206a92e97ce/events.out.tfevents.1712561547.3206a92e97ce.1217.1

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+size 8297

training_args.bin

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 version https://git-lfs.github.com/spec/v1
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 size 5112