Model save

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: kakuyomu-retnet-300m-1
+  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. -->
+
+# kakuyomu-retnet-300m-1
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6510
+
+## 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: 0.0006
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 5.5155        | 0.06  | 1000  | 5.5331          |
+| 5.0106        | 0.13  | 2000  | 5.1774          |
+| 4.793         | 0.19  | 3000  | 4.9399          |
+| 4.7078        | 0.26  | 4000  | 4.7737          |
+| 4.4789        | 0.32  | 5000  | 4.6373          |
+| 4.3269        | 0.38  | 6000  | 4.5422          |
+| 4.337         | 0.45  | 7000  | 4.4632          |
+| 4.374         | 0.51  | 8000  | 4.4070          |
+| 4.1447        | 0.58  | 9000  | 4.3293          |
+| 4.1402        | 0.64  | 10000 | 4.2881          |
+| 4.1329        | 0.7   | 11000 | 4.2287          |
+| 3.9985        | 0.77  | 12000 | 4.1858          |
+| 4.1185        | 0.83  | 13000 | 4.1506          |
+| 4.0515        | 0.9   | 14000 | 4.0993          |
+| 3.9984        | 0.96  | 15000 | 4.0611          |
+| 3.7731        | 1.02  | 16000 | 4.0423          |
+| 3.7403        | 1.09  | 17000 | 3.8166          |
+| 3.6778        | 1.15  | 18000 | 3.8000          |
+| 3.7227        | 1.22  | 19000 | 3.7875          |
+| 3.6051        | 1.28  | 20000 | 3.7664          |
+| 3.6143        | 1.34  | 21000 | 3.7496          |
+| 3.6323        | 1.41  | 22000 | 3.7278          |
+| 3.6487        | 1.47  | 23000 | 3.7089          |
+| 3.6524        | 1.54  | 24000 | 3.6951          |
+| 3.5621        | 1.6   | 25000 | 3.6801          |
+| 3.5722        | 1.66  | 26000 | 3.6708          |
+| 3.5277        | 1.73  | 27000 | 3.6635          |
+| 3.6224        | 1.79  | 28000 | 3.6565          |
+| 3.5663        | 1.85  | 29000 | 3.6532          |
+| 3.5937        | 1.92  | 30000 | 3.6515          |
+| 3.5944        | 1.98  | 31000 | 3.6510          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "eos_token_id": 50256,
+  "pad_token_id": 50256,
+  "transformers_version": "4.34.0"
+}