roberta-large-go-emotions_v2
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README.md
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---
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license: mit
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base_model: roberta-large
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: roberta-large-go-emotions_v2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# roberta-large-go-emotions_v2
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0833
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- Accuracy: 0.4548
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- Precision: 0.5106
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- Recall: 0.5017
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- F1: 0.4895
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 340 | 0.0922 | 0.4130 | 0.4179 | 0.4257 | 0.4047 |
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| 0.1095 | 2.0 | 680 | 0.0838 | 0.4466 | 0.4803 | 0.4888 | 0.4738 |
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| 0.1095 | 3.0 | 1020 | 0.0838 | 0.4425 | 0.4785 | 0.4995 | 0.4808 |
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| 0.0719 | 4.0 | 1360 | 0.0833 | 0.4548 | 0.5106 | 0.5017 | 0.4895 |
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### Framework versions
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- Transformers 4.37.0
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- Pytorch 2.1.2
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- Datasets 2.15.0
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- Tokenizers 0.15.1
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runs/Feb24_11-49-15_0acc26bb8f6e/events.out.tfevents.1708775358.0acc26bb8f6e.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:62204979e828cef1caee715633bbe99778075f0d348d8cfe17fe6c2563fceadc
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size 8194
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