End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: textclassifier
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# textclassifier
+
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.9168
+- Accuracy: 0.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 4.7871        | 1.0   | 46   | 4.8124          | 0.0      |
+| 4.7669        | 2.0   | 92   | 4.8653          | 0.0      |
+| 4.7888        | 3.0   | 138  | 4.8858          | 0.0      |
+| 4.7498        | 4.0   | 184  | 4.8981          | 0.0      |
+| 4.7449        | 5.0   | 230  | 4.8945          | 0.0      |
+| 4.7261        | 6.0   | 276  | 4.9050          | 0.0      |
+| 4.7295        | 7.0   | 322  | 4.9148          | 0.0      |
+| 4.7181        | 8.0   | 368  | 4.9166          | 0.0      |
+| 4.7094        | 9.0   | 414  | 4.9146          | 0.0      |
+| 4.7064        | 10.0  | 460  | 4.9168          | 0.0      |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

config.json

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+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
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+  "dim": 768,
+  "dropout": 0.1,
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+}

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special_tokens_map.json

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tokenizer_config.json

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+}

training_args.bin

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