roberta-large-go-emotions

README.md

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+---
+license: mit
+base_model: roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: roberta-large-go-emotions
+  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. -->
+
+# roberta-large-go-emotions
+
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0811
+- Accuracy: 0.4525
+- Precision: 0.5113
+- Recall: 0.5202
+- F1: 0.5057
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 679  | 0.0936          | 0.4233   | 0.4251    | 0.4021 | 0.3955 |
+| 0.1094        | 2.0   | 1358 | 0.0826          | 0.4432   | 0.4828    | 0.4888 | 0.4747 |
+| 0.1094        | 3.0   | 2037 | 0.0811          | 0.4525   | 0.5113    | 0.5202 | 0.5057 |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.1

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runs/Feb21_09-43-01_f416e8751def/events.out.tfevents.1708508587.f416e8751def.34.0

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