End of training

README.md

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+---
+license: mit
+base_model: xlnet-base-cased
+tags:
+- generated_from_trainer
+datasets:
+- tweet_sentiment_multilingual
+metrics:
+- accuracy
+model-index:
+- name: xlnet-finetuned-socialmediatweet
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: tweet_sentiment_multilingual
+      type: tweet_sentiment_multilingual
+      config: english
+      split: validation
+      args: english
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7129629850387573
+---
+
+<!-- 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. -->
+
+# xlnet-finetuned-socialmediatweet
+
+This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the tweet_sentiment_multilingual dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6923
+- Accuracy: 0.7130
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0161        | 1.0   | 58   | 2.4538          | 0.6821   |
+| 0.0416        | 2.0   | 116  | 2.3751          | 0.6821   |
+| 0.0294        | 3.0   | 174  | 2.4929          | 0.7068   |
+| 0.031         | 4.0   | 232  | 2.5655          | 0.7037   |
+| 0.0422        | 5.0   | 290  | 3.0881          | 0.6605   |
+| 0.0751        | 6.0   | 348  | 2.6787          | 0.6883   |
+| 0.0264        | 7.0   | 406  | 2.5283          | 0.7006   |
+| 0.0123        | 8.0   | 464  | 2.5634          | 0.7006   |
+| 0.0277        | 9.0   | 522  | 2.7127          | 0.6852   |
+| 0.0448        | 10.0  | 580  | 2.6113          | 0.6759   |
+| 0.0261        | 11.0  | 638  | 2.6640          | 0.6759   |
+| 0.0111        | 12.0  | 696  | 2.6089          | 0.6914   |
+| 0.0239        | 13.0  | 754  | 2.5785          | 0.6975   |
+| 0.0255        | 14.0  | 812  | 2.6923          | 0.7130   |
+| 0.0242        | 15.0  | 870  | 2.4704          | 0.7068   |
+| 0.0131        | 16.0  | 928  | 2.6724          | 0.6667   |
+| 0.0059        | 17.0  | 986  | 2.5554          | 0.7068   |
+| 0.0066        | 18.0  | 1044 | 2.6696          | 0.6698   |
+| 0.001         | 19.0  | 1102 | 2.5653          | 0.6883   |
+| 0.0026        | 20.0  | 1160 | 2.5846          | 0.6883   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

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runs/Dec07_08-02-20_da01a0dc28a0/events.out.tfevents.1701936752.da01a0dc28a0.276.9

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