Model save

README.md

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+---
+base_model: griffin-1024-llama3t-8layer
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: griffin-1024-llama3t-8layer-simple_wikipedia_LM-vN
+  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. -->
+
+# griffin-1024-llama3t-8layer-simple_wikipedia_LM-vN
+
+This model is a fine-tuned version of [griffin-1024-llama3t-8layer](https://huggingface.co/griffin-1024-llama3t-8layer) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3584
+- Accuracy: 0.3789
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 80085
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 13.6044       | 0.2495 | 100  | 12.5441         | 0.0079   |
+| 8.9524        | 0.4989 | 200  | 8.4254          | 0.0473   |
+| 7.1721        | 0.7484 | 300  | 6.6199          | 0.0389   |
+| 6.2087        | 0.9978 | 400  | 5.7198          | 0.2251   |
+| 5.4917        | 1.2473 | 500  | 4.9480          | 0.3268   |
+| 4.9408        | 1.4967 | 600  | 4.6730          | 0.3567   |
+| 4.8347        | 1.7462 | 700  | 4.4984          | 0.3707   |
+| 4.7023        | 1.9956 | 800  | 4.3584          | 0.3789   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "transformers_version": "4.40.1"
+}