Training completed!

README.md

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+---
+license: mit
+base_model: Prasadrao/xlm-roberta-large-go-emotions-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: xlm-roberta-large-go-emotions-v3
+  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. -->
+
+# xlm-roberta-large-go-emotions-v3
+
+This model is a fine-tuned version of [Prasadrao/xlm-roberta-large-go-emotions-v2](https://huggingface.co/Prasadrao/xlm-roberta-large-go-emotions-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0953
+- Accuracy: 0.4534
+- Precision: 0.5400
+- Recall: 0.5187
+- F1: 0.5151
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 1357 | 0.0929          | 0.4624   | 0.5267    | 0.5037 | 0.5051 |
+| 0.0467        | 2.0   | 2714 | 0.0953          | 0.4534   | 0.5400    | 0.5187 | 0.5151 |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.1

runs/Mar04_10-04-30_8af05134d94c/events.out.tfevents.1709546672.8af05134d94c.34.0

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