End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: sentence_sentiments_analysis_bert
+  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. -->
+
+# sentence_sentiments_analysis_bert
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3401
+- F1-score: 0.9007
+
+## 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: 5e-05
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1-score |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3194        | 1.0   | 2500  | 0.3401          | 0.9007   |
+| 0.232         | 2.0   | 5000  | 0.3748          | 0.9126   |
+| 0.1364        | 3.0   | 7500  | 0.4277          | 0.9186   |
+| 0.0537        | 4.0   | 10000 | 0.4881          | 0.9214   |
+| 0.0238        | 5.0   | 12500 | 0.5175          | 0.9240   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

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