End of training

README.md

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+---
+license: mit
+base_model: microsoft/deberta-v3-small
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- accuracy
+- f1
+model-index:
+- name: deberta-v3-ft-news-sentiment-analisys
+  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. -->
+
+# deberta-v3-ft-news-sentiment-analisys
+
+This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2868
+- Precision: 0.8987
+- Recall: 0.8987
+- Accuracy: 0.8987
+- F1: 0.8987
+
+## 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: 64
+- 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 | Precision | Recall | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|
+| No log        | 1.0   | 64   | 0.8396          | 0.7093    | 0.7093 | 0.7093   | 0.7093 |
+| No log        | 2.0   | 128  | 0.4040          | 0.8194    | 0.8194 | 0.8194   | 0.8194 |
+| No log        | 3.0   | 192  | 0.4036          | 0.8238    | 0.8238 | 0.8238   | 0.8238 |
+| No log        | 4.0   | 256  | 0.3208          | 0.8767    | 0.8767 | 0.8767   | 0.8767 |
+| No log        | 5.0   | 320  | 0.2868          | 0.8987    | 0.8987 | 0.8987   | 0.8987 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

added_tokens.json

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config.json

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+  "_name_or_path": "microsoft/deberta-v3-small",
+  "architectures": [
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+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
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