Training complete

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-goemotions-10epochs
+  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. -->
+
+# bert-goemotions-10epochs
+
+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: 0.1110
+- Accuracy Thresh: 0.9619
+
+## 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: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy Thresh |
+|:-------------:|:-----:|:-----:|:---------------:|:---------------:|
+| 0.126         | 1.0   | 5283  | 0.1127          | 0.9619          |
+| 0.1101        | 2.0   | 10566 | 0.1110          | 0.9619          |
+| 0.1051        | 3.0   | 15849 | 0.1111          | 0.9616          |
+| 0.1007        | 4.0   | 21132 | 0.1126          | 0.9613          |
+| 0.0968        | 5.0   | 26415 | 0.1145          | 0.9605          |
+| 0.0932        | 6.0   | 31698 | 0.1160          | 0.9601          |
+| 0.0902        | 7.0   | 36981 | 0.1192          | 0.9593          |
+
+
+### Framework versions
+
+- Transformers 4.35.1
+- Pytorch 2.1.0+cu118
+- Tokenizers 0.14.1

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