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tarekxpc
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mamba_text_classification

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PyTorch
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Training complete

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  1. README.md +16 -16
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +1 -6
README.md CHANGED
@@ -13,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # mamba_text_classification
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- This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8755
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- - Accuracy: 0.7778
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  ## Model description
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@@ -35,28 +35,28 @@ 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: 5e-05
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- - train_batch_size: 2
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- - eval_batch_size: 4
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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: cosine
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  - lr_scheduler_warmup_ratio: 0.01
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.0279 | 0.1 | 371 | 2.5090 | 0.1111 |
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- | 1.3557 | 0.2 | 742 | 1.0745 | 0.6667 |
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- | 1.5255 | 0.3 | 1113 | 1.1685 | 0.6667 |
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- | 0.7389 | 0.4 | 1484 | 1.3240 | 0.5556 |
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- | 0.9114 | 0.5 | 1855 | 1.2930 | 0.6667 |
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- | 0.0422 | 0.6 | 2226 | 1.1987 | 0.6667 |
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- | 1.5648 | 0.7 | 2597 | 0.5782 | 0.7778 |
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- | 1.7356 | 0.8 | 2968 | 0.7707 | 0.6667 |
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- | 0.0145 | 0.9 | 3339 | 0.8755 | 0.7778 |
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  ### Framework versions
 
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  # mamba_text_classification
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+ This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6274
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+ - Accuracy: 1.0
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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: 1e-06
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+ - train_batch_size: 4
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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: cosine
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  - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6169 | 0.4 | 52 | 0.8997 | 0.0 |
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+ | 0.698 | 0.81 | 104 | 0.7669 | 0.0 |
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+ | 0.5953 | 1.21 | 156 | 0.6956 | 0.0 |
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+ | 0.5979 | 1.61 | 208 | 0.6580 | 1.0 |
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+ | 0.5949 | 2.02 | 260 | 0.6465 | 1.0 |
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+ | 0.6608 | 2.42 | 312 | 0.6321 | 1.0 |
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+ | 0.5082 | 2.82 | 364 | 0.6339 | 1.0 |
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+ | 0.578 | 3.22 | 416 | 0.6302 | 1.0 |
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+ | 0.6325 | 3.63 | 468 | 0.6274 | 1.0 |
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  ### Framework versions
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tokenizer.json CHANGED
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  "version": "1.0",
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- "truncation": {
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- "direction": "Right",
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- "max_length": 512,
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- "strategy": "LongestFirst",
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- "stride": 0
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- },
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  "padding": null,
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  "added_tokens": [
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  {
 
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