Model save

README.md

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+---
+license: apache-2.0
+base_model: pszemraj/random-mega-ar-small-4096
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: PT-random-mega-ar-small-4096-wikitext_document_level-1024ctx-v1
+  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-random-mega-ar-small-4096-wikitext_document_level-1024ctx-v1
+
+This model is a fine-tuned version of [pszemraj/random-mega-ar-small-4096](https://huggingface.co/pszemraj/random-mega-ar-small-4096) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0338
+- Accuracy: 0.3243
+
+## 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: 4
+- eval_batch_size: 1
+- seed: 80085
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 7.3662        | 0.11  | 100  | 7.2782          | 0.0935   |
+| 6.3064        | 0.22  | 200  | 6.2066          | 0.1634   |
+| 5.8203        | 0.33  | 300  | 5.7299          | 0.1931   |
+| 5.55          | 0.44  | 400  | 5.4173          | 0.2117   |
+| 5.3194        | 0.55  | 500  | 5.1937          | 0.2278   |
+| 5.1678        | 0.66  | 600  | 5.0206          | 0.2406   |
+| 5.0375        | 0.77  | 700  | 4.8891          | 0.2508   |
+| 4.9194        | 0.88  | 800  | 4.7592          | 0.2605   |
+| 4.8272        | 0.99  | 900  | 4.6653          | 0.2681   |
+| 4.7571        | 1.1   | 1000 | 4.5817          | 0.2754   |
+| 4.6345        | 1.21  | 1100 | 4.5066          | 0.2820   |
+| 4.6218        | 1.32  | 1200 | 4.4472          | 0.2867   |
+| 4.5585        | 1.43  | 1300 | 4.3827          | 0.2923   |
+| 4.5047        | 1.54  | 1400 | 4.3328          | 0.2963   |
+| 4.4726        | 1.65  | 1500 | 4.2860          | 0.3002   |
+| 4.4094        | 1.76  | 1600 | 4.2452          | 0.3038   |
+| 4.3705        | 1.87  | 1700 | 4.2168          | 0.3062   |
+| 4.3739        | 1.98  | 1800 | 4.1852          | 0.3095   |
+| 4.2836        | 2.09  | 1900 | 4.1599          | 0.3112   |
+| 4.302         | 2.2   | 2000 | 4.1307          | 0.3149   |
+| 4.2847        | 2.31  | 2100 | 4.1113          | 0.3165   |
+| 4.2348        | 2.42  | 2200 | 4.0925          | 0.3184   |
+| 4.2837        | 2.53  | 2300 | 4.0743          | 0.3207   |
+| 4.2058        | 2.64  | 2400 | 4.0612          | 0.3217   |
+| 4.22          | 2.75  | 2500 | 4.0494          | 0.3224   |
+| 4.1827        | 2.86  | 2600 | 4.0397          | 0.3237   |
+| 4.1967        | 2.97  | 2700 | 4.0338          | 0.3243   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.0.dev20230727+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.32.1"
+}

pytorch_model.bin

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