Model save

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: emotion-analysis-3000
+  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. -->
+
+# emotion-analysis-3000
+
+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: 0.0894
+- Accuracy: 0.9417
+- F1: 0.9392
+
+## 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: 16
+- eval_batch_size: 16
+- 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     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.0912        | 1.0   | 20841 | 0.0922          | 0.9423   | 0.9436 |
+| 0.097         | 2.0   | 41682 | 0.0894          | 0.9417   | 0.9392 |
+| 0.0808        | 3.0   | 62523 | 0.0937          | 0.9419   | 0.9393 |
+| 0.0852        | 4.0   | 83364 | 0.0989          | 0.9424   | 0.9397 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 1.13.0+cu117
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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runs/Apr14_13-50-18_DESKTOP-TE1H4IM/events.out.tfevents.1713107867.DESKTOP-TE1H4IM.28940.1

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