Model save

README.md

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+---
+license: mit
+base_model: jarod0411/s1_5epoch
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: s2_5epoch
+  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. -->
+
+# s2_5epoch
+
+This model is a fine-tuned version of [jarod0411/s1_5epoch](https://huggingface.co/jarod0411/s1_5epoch) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3898
+- Accuracy: 0.8740
+
+## 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: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.4397        | 1.0   | 6015  | 0.4175          | 0.8668   |
+| 0.4203        | 2.0   | 12030 | 0.4022          | 0.8708   |
+| 0.4114        | 3.0   | 18045 | 0.3949          | 0.8727   |
+| 0.4067        | 4.0   | 24060 | 0.3912          | 0.8737   |
+| 0.4047        | 5.0   | 30075 | 0.3898          | 0.8740   |
+
+
+### 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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runs/Aug05_18-26-20_rbdgx1/events.out.tfevents.1722900579.rbdgx1.1091546.0

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