End of training

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+base_model: google/t5-v1_1-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: gamblingspam-t5
+  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. -->
+
+# gamblingspam-t5
+
+This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6656
+- Accuracy: 0.935
+
+## 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-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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 50   | 0.6675          | 0.935    |
+| No log        | 2.0   | 100  | 0.6661          | 0.935    |
+| No log        | 3.0   | 150  | 0.6656          | 0.935    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0