Model save

README.md

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+---
+license: apache-2.0
+base_model: pszemraj/mega-ar-small-4096-NC-simplewiki-v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: PT-mega-ar-small-4096-NC-simplewiki-v1-minipile-main-4096
+  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. -->
+
+# PT-mega-ar-small-4096-NC-simplewiki-v1-minipile-main-4096
+
+This model is a fine-tuned version of [pszemraj/mega-ar-small-4096-NC-simplewiki-v1](https://huggingface.co/pszemraj/mega-ar-small-4096-NC-simplewiki-v1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.7502
+- Accuracy: 0.3650
+
+## 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: 0.0003
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 80085
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 5.7062        | 0.04  | 200  | 5.5259          | 0.1829   |
+| 5.4056        | 0.07  | 400  | 5.1650          | 0.2073   |
+| 5.1319        | 0.11  | 600  | 4.9704          | 0.2261   |
+| 4.9674        | 0.14  | 800  | 4.8417          | 0.2370   |
+| 4.951         | 0.18  | 1000 | 4.7261          | 0.2467   |
+| 4.7753        | 0.21  | 1200 | 4.6288          | 0.2554   |
+| 4.6721        | 0.25  | 1400 | 4.5260          | 0.2678   |
+| 4.6081        | 0.28  | 1600 | 4.4409          | 0.2768   |
+| 4.4929        | 0.32  | 1800 | 4.3566          | 0.2857   |
+| 4.4345        | 0.35  | 2000 | 4.2812          | 0.2957   |
+| 4.3024        | 0.39  | 2200 | 4.2085          | 0.3052   |
+| 4.2505        | 0.42  | 2400 | 4.1424          | 0.3151   |
+| 4.2294        | 0.46  | 2600 | 4.0859          | 0.3217   |
+| 4.2766        | 0.49  | 2800 | 4.0372          | 0.3298   |
+| 4.1229        | 0.53  | 3000 | 3.9901          | 0.3357   |
+| 4.2007        | 0.56  | 3200 | 3.9538          | 0.3410   |
+| 3.9723        | 0.6   | 3400 | 3.9186          | 0.3453   |
+| 4.0599        | 0.63  | 3600 | 3.8881          | 0.3487   |
+| 4.0351        | 0.67  | 3800 | 3.8650          | 0.3515   |
+| 3.9324        | 0.7   | 4000 | 3.8419          | 0.3546   |
+| 3.9408        | 0.74  | 4200 | 3.8234          | 0.3564   |
+| 3.9499        | 0.77  | 4400 | 3.8091          | 0.3585   |
+| 3.9456        | 0.81  | 4600 | 3.7938          | 0.3602   |
+| 3.9035        | 0.84  | 4800 | 3.7809          | 0.3618   |
+| 3.8709        | 0.88  | 5000 | 3.7712          | 0.3631   |
+| 3.8189        | 0.92  | 5200 | 3.7612          | 0.3639   |
+| 3.7973        | 0.95  | 5400 | 3.7549          | 0.3646   |
+| 3.8952        | 0.99  | 5600 | 3.7502          | 0.3650   |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.2.0.dev20230907+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.33.1"
+}

pytorch_model.bin

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