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update model card README.md

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@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # transcriber-t5-v8
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- This model is a fine-tuned version of [odunola/transcriber-t5-v7](https://huggingface.co/odunola/transcriber-t5-v7) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1269
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  ## Model description
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@@ -40,14 +40,24 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.1509 | 2.12 | 500 | 0.1427 |
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- | 0.1259 | 4.24 | 1000 | 0.1269 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  # transcriber-t5-v8
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+ This model is a fine-tuned version of [odunola/transcriber-t5-v7](https://huggingface.co/odunola/transcriber-t5-v7) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1924
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.2215 | 0.23 | 500 | 0.2216 |
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+ | 0.1814 | 0.47 | 1000 | 0.2197 |
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+ | 0.2011 | 0.7 | 1500 | 0.2059 |
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+ | 0.2595 | 0.94 | 2000 | 0.2009 |
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+ | 0.2412 | 1.17 | 2500 | 0.2019 |
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+ | 0.1785 | 1.41 | 3000 | 0.1970 |
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+ | 0.1962 | 1.64 | 3500 | 0.1983 |
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+ | 0.2009 | 1.88 | 4000 | 0.1963 |
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+ | 0.2013 | 2.11 | 4500 | 0.1923 |
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+ | 0.2715 | 2.35 | 5000 | 0.1929 |
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+ | 0.2488 | 2.58 | 5500 | 0.1936 |
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+ | 0.1185 | 2.81 | 6000 | 0.1924 |
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  ### Framework versions