End of training

README.md

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+---
+base_model: checkpoint_raw/gpt2
+datasets:
+- Salesforce/dialogstudio
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: tweet-summarization-gpt-2-finetuned
+  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. -->
+
+# tweet-summarization-gpt-2-finetuned
+
+This model is a fine-tuned version of [gpt2-hf](https://huggingface.co/gpt2-hf) on the Salesforce/dialogstudio dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5758
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.9466        | 1.0   | 55   | 3.5758          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.45.2
+- Pytorch 2.0.1+cu117
+- Datasets 3.0.1
+- Tokenizers 0.20.1

runs/Oct22_07-03-17_6d24293528e4/events.out.tfevents.1729580598.6d24293528e4.1735.0

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