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checkpoint

Text Classification
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bert
Generated from Trainer
text-embeddings-inference
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Classify-model-v1.2

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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [thenlper/gte-large](https://huggingface.co/thenlper/gte-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3056
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- - Accuracy: 0.9455
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  ## Model description
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@@ -37,9 +37,9 @@ More information needed
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  ### Training hyperparameters
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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: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.4365 | 1.0 | 170 | 0.7821 | 0.8364 |
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- | 0.4728 | 2.0 | 340 | 0.2259 | 0.9545 |
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- | 0.147 | 3.0 | 510 | 0.2167 | 0.9273 |
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- | 0.0677 | 4.0 | 680 | 0.2063 | 0.9364 |
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- | 0.0539 | 5.0 | 850 | 0.2036 | 0.9545 |
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- | 0.0296 | 6.0 | 1020 | 0.2358 | 0.9455 |
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- | 0.0182 | 7.0 | 1190 | 0.2747 | 0.9455 |
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- | 0.0133 | 8.0 | 1360 | 0.3011 | 0.9364 |
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- | 0.0112 | 9.0 | 1530 | 0.3096 | 0.9455 |
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- | 0.0087 | 10.0 | 1700 | 0.3056 | 0.9455 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [thenlper/gte-large](https://huggingface.co/thenlper/gte-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1728
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+ - Accuracy: 0.9545
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 128
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+ - eval_batch_size: 128
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  - seed: 42
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.4496 | 1.0 | 11 | 0.8490 | 0.8 |
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+ | 0.6028 | 2.0 | 22 | 0.3205 | 0.8909 |
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+ | 0.183 | 3.0 | 33 | 0.2986 | 0.9273 |
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+ | 0.0749 | 4.0 | 44 | 0.2600 | 0.9455 |
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+ | 0.039 | 5.0 | 55 | 0.1932 | 0.9636 |
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+ | 0.0208 | 6.0 | 66 | 0.1570 | 0.9636 |
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+ | 0.0147 | 7.0 | 77 | 0.2016 | 0.9545 |
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+ | 0.0119 | 8.0 | 88 | 0.1818 | 0.9545 |
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+ | 0.0059 | 9.0 | 99 | 0.1700 | 0.9545 |
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+ | 0.0048 | 10.0 | 110 | 0.1728 | 0.9545 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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