End of training

README.md

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+---
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: absa-train-service
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cunho2803032003/absa-1721529936.8383145/runs/otcaa3ob)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cunho2803032003/absa-1721530519.4932458/runs/6euwf05s)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cunho2803032003/absa-1721530820.3853943/runs/fdeie61y)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cunho2803032003/absa-1721531172.9125576/runs/jccg02qd)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cunho2803032003/absa-1721531509.736016/runs/lsogkzq6)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cunho2803032003/absa-1721532378.9611094/runs/kytk3wpn)
+# absa-train-service
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0968
+- Accuracy: 0.699
+
+## 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: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.2845        | 1.0   | 375  | 2.2437          | 0.268    |
+| 2.0419        | 2.0   | 750  | 2.0310          | 0.491    |
+| 1.7634        | 3.0   | 1125 | 1.8072          | 0.439    |
+| 1.5688        | 4.0   | 1500 | 1.5605          | 0.634    |
+| 1.4397        | 5.0   | 1875 | 1.4126          | 0.621    |
+| 1.3734        | 6.0   | 2250 | 1.3115          | 0.662    |
+| 1.3016        | 7.0   | 2625 | 1.2222          | 0.692    |
+| 1.2229        | 8.0   | 3000 | 1.1733          | 0.679    |
+| 1.2435        | 9.0   | 3375 | 1.1515          | 0.676    |
+| 1.2069        | 10.0  | 3750 | 1.1158          | 0.697    |
+| 1.2243        | 11.0  | 4125 | 1.1092          | 0.696    |
+| 1.167         | 12.0  | 4500 | 1.0968          | 0.699    |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1