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Model: ramzanniaz331/llama3.1-8b-8192-v3
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: meta-llama/Llama-3.1-8B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: ds3full_pretrain
+  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. -->
+
+# ds3full_pretrain
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the cpt_jazz_v3, the cpt_jazz_v3_copy, the cpt_opensource_v3 and the cpt_local_v3 datasets.
+It achieves the following results on the evaluation set:
+- Loss: 1.1027
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 256
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1993        | 0.3176 | 200  | 1.1916          |
+| 1.1243        | 0.6351 | 400  | 1.1279          |
+| 1.1059        | 0.9527 | 600  | 1.1028          |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.9.1+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.1