End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/DialoGPT-small
+tags:
+- generated_from_trainer
+datasets:
+- empathetic_dialogues
+model-index:
+- name: chatbot
+  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. -->
+
+# chatbot
+
+This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) on the empathetic_dialogues dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8866
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.1   | 10   | 1.3309          |
+| No log        | 0.2   | 20   | 0.9199          |
+| No log        | 0.3   | 30   | 0.8962          |
+| No log        | 0.4   | 40   | 0.8888          |
+| No log        | 0.5   | 50   | 0.8866          |
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.6.0
+- Datasets 3.2.0
+- Tokenizers 0.21.0