Model save

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: stage2Only_scaffoldGPT_new
+  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. -->
+
+# stage2Only_scaffoldGPT_new
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3643
+- Accuracy: 0.8806
+
+## 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: 5e-05
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 192
+- total_eval_batch_size: 192
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20.0
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 0.4661        | 1.0   | 6015   | 0.4390          | 0.8615   |
+| 0.4302        | 2.0   | 12030  | 0.4107          | 0.8688   |
+| 0.4145        | 3.0   | 18045  | 0.3979          | 0.8721   |
+| 0.405         | 4.0   | 24060  | 0.3902          | 0.8740   |
+| 0.3985        | 5.0   | 30075  | 0.3850          | 0.8753   |
+| 0.3934        | 6.0   | 36090  | 0.3808          | 0.8764   |
+| 0.3896        | 7.0   | 42105  | 0.3778          | 0.8772   |
+| 0.3864        | 8.0   | 48120  | 0.3752          | 0.8778   |
+| 0.3839        | 9.0   | 54135  | 0.3731          | 0.8784   |
+| 0.3817        | 10.0  | 60150  | 0.3714          | 0.8788   |
+| 0.3799        | 11.0  | 66165  | 0.3700          | 0.8792   |
+| 0.3784        | 12.0  | 72180  | 0.3687          | 0.8795   |
+| 0.3771        | 13.0  | 78195  | 0.3677          | 0.8798   |
+| 0.376         | 14.0  | 84210  | 0.3668          | 0.8800   |
+| 0.3751        | 15.0  | 90225  | 0.3661          | 0.8802   |
+| 0.3743        | 16.0  | 96240  | 0.3655          | 0.8803   |
+| 0.3737        | 17.0  | 102255 | 0.3650          | 0.8804   |
+| 0.3732        | 18.0  | 108270 | 0.3646          | 0.8805   |
+| 0.3729        | 19.0  | 114285 | 0.3644          | 0.8806   |
+| 0.3726        | 20.0  | 120300 | 0.3643          | 0.8806   |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.36.0.dev0"
+}

model.safetensors

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 size 652163920

runs/Jul31_15-51-57_rbdgx1/events.out.tfevents.1722459155.rbdgx1.2931468.0

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