Model save

README.md

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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Meta-Llama-3.1-8B
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: oh_scale_x.5_compute_equal
+  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. -->
+
+# oh_scale_x.5_compute_equal
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4058
+
+## 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-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 512
+- total_eval_batch_size: 64
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 25.0
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.7807        | 0.9947  | 165  | 0.7690          |
+| 0.7139        | 1.9955  | 331  | 0.7520          |
+| 0.6642        | 2.9962  | 497  | 0.7525          |
+| 0.6186        | 3.9970  | 663  | 0.7615          |
+| 0.5777        | 4.9977  | 829  | 0.7785          |
+| 0.5287        | 5.9985  | 995  | 0.8154          |
+| 0.473         | 6.9992  | 1161 | 0.8710          |
+| 0.4134        | 8.0     | 1327 | 0.9475          |
+| 0.3615        | 8.9947  | 1492 | 1.0203          |
+| 0.3057        | 9.9955  | 1658 | 1.1177          |
+| 0.2565        | 10.9962 | 1824 | 1.2368          |
+| 0.2099        | 11.9970 | 1990 | 1.3552          |
+| 0.1676        | 12.9977 | 2156 | 1.5071          |
+| 0.1283        | 13.9985 | 2322 | 1.6324          |
+| 0.1022        | 14.9992 | 2488 | 1.7542          |
+| 0.0779        | 16.0    | 2654 | 1.8729          |
+| 0.0607        | 16.9947 | 2819 | 1.9862          |
+| 0.0481        | 17.9955 | 2985 | 2.0547          |
+| 0.038         | 18.9962 | 3151 | 2.1351          |
+| 0.0306        | 19.9970 | 3317 | 2.2255          |
+| 0.0256        | 20.9977 | 3483 | 2.2699          |
+| 0.0221        | 21.9985 | 3649 | 2.3515          |
+| 0.0197        | 22.9992 | 3815 | 2.3599          |
+| 0.0186        | 24.0    | 3981 | 2.3888          |
+| 0.0169        | 24.8681 | 4125 | 2.4058          |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.3.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.46.1"
+}