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Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8976
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  - Accuracy: 0.6497
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.9519 | 1.0 | 226 | 0.8988 | 0.6497 |
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- | 0.9428 | 2.0 | 452 | 0.9048 | 0.6497 |
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- | 0.9407 | 3.0 | 678 | 0.8911 | 0.6497 |
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- | 0.9383 | 4.0 | 904 | 0.8932 | 0.6497 |
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- | 0.9352 | 5.0 | 1130 | 0.8951 | 0.6497 |
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- | 0.9362 | 6.0 | 1356 | 0.8974 | 0.6497 |
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- | 0.9328 | 7.0 | 1582 | 0.8973 | 0.6497 |
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- | 0.9308 | 8.0 | 1808 | 0.8984 | 0.6497 |
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- | 0.9322 | 9.0 | 2034 | 0.8979 | 0.6497 |
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- | 0.93 | 10.0 | 2260 | 0.8976 | 0.6497 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8950
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  - Accuracy: 0.6497
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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  - seed: 42
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.9524 | 1.0 | 113 | 0.8999 | 0.6497 |
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+ | 0.9423 | 2.0 | 226 | 0.9047 | 0.6497 |
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+ | 0.9426 | 3.0 | 339 | 0.8903 | 0.6497 |
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+ | 0.9417 | 4.0 | 452 | 0.8909 | 0.6497 |
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+ | 0.9374 | 5.0 | 565 | 0.8937 | 0.6497 |
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+ | 0.9363 | 6.0 | 678 | 0.8967 | 0.6497 |
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+ | 0.9369 | 7.0 | 791 | 0.8944 | 0.6497 |
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+ | 0.9357 | 8.0 | 904 | 0.8969 | 0.6497 |
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+ | 0.9347 | 9.0 | 1017 | 0.8944 | 0.6497 |
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+ | 0.9324 | 10.0 | 1130 | 0.8950 | 0.6497 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 267835644
 
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