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End of training

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  1. README.md +14 -5
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0095
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  ## Model description
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@@ -42,13 +42,22 @@ The following hyperparameters were used during training:
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 1
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0426 | 1.0 | 3944 | 0.0095 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0074
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  ## Model description
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.0284 | 1.0 | 3944 | 0.0180 |
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+ | 0.001 | 2.0 | 7888 | 0.0245 |
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+ | 0.0007 | 3.0 | 11832 | 0.0268 |
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+ | 0.002 | 4.0 | 15776 | 0.0227 |
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+ | 0.0006 | 5.0 | 19720 | 0.0131 |
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+ | 0.0008 | 6.0 | 23664 | 0.0108 |
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+ | 0.0006 | 7.0 | 27608 | 0.0084 |
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+ | 0.0001 | 8.0 | 31552 | 0.0105 |
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+ | 0.0001 | 9.0 | 35496 | 0.0089 |
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+ | 0.0 | 10.0 | 39440 | 0.0074 |
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  ### Framework versions