End of training

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: tapt_helpfulness_base_pretraining_model
+  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. -->
+
+# tapt_helpfulness_base_pretraining_model
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4502
+
+## 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: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 11
+- total_train_batch_size: 352
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9099        | 0.97  | 27   | 1.6497          |
+| 1.716         | 1.98  | 55   | 1.6088          |
+| 1.6549        | 2.99  | 83   | 1.5624          |
+| 1.6585        | 3.97  | 110  | 1.5455          |
+| 1.557         | 4.98  | 138  | 1.5446          |
+| 1.5142        | 5.99  | 166  | 1.5057          |
+| 1.4788        | 7.0   | 194  | 1.4934          |
+| 1.5057        | 7.97  | 221  | 1.4714          |
+| 1.4232        | 8.98  | 249  | 1.4541          |
+| 1.3778        | 9.74  | 270  | 1.4498          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Apr15_22-32-56_47f7c53496d7/events.out.tfevents.1713220378.47f7c53496d7.229.0

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