Model save

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: 4_bar_lmd_clean_custom_epochs10
+  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. -->
+
+# 4_bar_lmd_clean_custom_epochs10
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0103
+
+## 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: 0.005
+- train_batch_size: 48
+- eval_batch_size: 32
+- seed: 1
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 96
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.7474        | 3.92  | 5000  | 1.1705          |
+| 1.1177        | 7.85  | 10000 | 1.0103          |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.1.0
+- Datasets 2.15.0
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 3,
+  "transformers_version": "4.36.0"
+}

runs/Apr29_16-45-49_algo-1/events.out.tfevents.1714409199.algo-1.46.0

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