End of training

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: xlnet-regression
+  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. -->
+
+# xlnet-regression
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3743
+
+## 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: 50
+- eval_batch_size: 50
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 80   | 0.3743          |
+| No log        | 2.0   | 160  | 0.3747          |
+| No log        | 3.0   | 240  | 0.3743          |
+| No log        | 4.0   | 320  | 0.3743          |
+| No log        | 5.0   | 400  | 0.3743          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "architectures": [
+    "CustomModel"
+  ],
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "vocab_size": 32000
+}

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training_args.bin

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