End of training

README.md

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+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: XLMRoberta-base-amazon-massive-Intent
+  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. -->
+
+# XLMRoberta-base-amazon-massive-Intent
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5620
+- Accuracy: 0.8751
+- F1: 0.8269
+
+## 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: 7e-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 2.4641        | 1.0   | 1440  | 1.4258          | 0.6709   | 0.4126 |
+| 1.1447        | 2.0   | 2880  | 0.8477          | 0.8060   | 0.6318 |
+| 0.7437        | 3.0   | 4320  | 0.6688          | 0.8409   | 0.7060 |
+| 0.5543        | 4.0   | 5760  | 0.6006          | 0.8601   | 0.7813 |
+| 0.4375        | 5.0   | 7200  | 0.5780          | 0.8635   | 0.7937 |
+| 0.3763        | 6.0   | 8640  | 0.5748          | 0.8694   | 0.8170 |
+| 0.3265        | 7.0   | 10080 | 0.5620          | 0.8751   | 0.8269 |
+| 0.2916        | 8.0   | 11520 | 0.5701          | 0.8756   | 0.8260 |
+| 0.2628        | 9.0   | 12960 | 0.5728          | 0.8760   | 0.8271 |
+| 0.2474        | 10.0  | 14400 | 0.5740          | 0.8770   | 0.8288 |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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runs/May24_09-28-14_ef1ed8895661/events.out.tfevents.1716545695.ef1ed8895661.421.1

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