End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: SentimentT2
+  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. -->
+
+# SentimentT2
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8793
+- Accuracy: 0.7143
+- F1: 0.7099
+- Auc Roc: 0.8948
+- Log Loss: 1.8793
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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 | F1     | Auc Roc | Log Loss |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 8    | 1.7750          | 0.7429   | 0.7448 | 0.8959  | 1.7750   |
+| No log        | 2.0   | 16   | 1.9519          | 0.6857   | 0.6896 | 0.8992  | 1.9519   |
+| No log        | 3.0   | 24   | 1.8079          | 0.7286   | 0.7293 | 0.8990  | 1.8079   |
+| No log        | 4.0   | 32   | 1.8638          | 0.6714   | 0.6745 | 0.8975  | 1.8638   |
+| No log        | 5.0   | 40   | 1.9660          | 0.6714   | 0.6656 | 0.9049  | 1.9660   |
+| No log        | 6.0   | 48   | 1.9401          | 0.7143   | 0.7042 | 0.8977  | 1.9401   |
+| No log        | 7.0   | 56   | 1.9271          | 0.7      | 0.6934 | 0.8911  | 1.9271   |
+| No log        | 8.0   | 64   | 1.9025          | 0.7      | 0.6930 | 0.8896  | 1.9025   |
+| No log        | 9.0   | 72   | 1.8840          | 0.7143   | 0.7099 | 0.8942  | 1.8840   |
+| No log        | 10.0  | 80   | 1.8793          | 0.7143   | 0.7099 | 0.8948  | 1.8793   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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