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TinyPixel/Llama-2-7B-bf16-sharded-fine
Browse files- README.md +58 -0
- config.json +29 -0
- generation_config.json +7 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
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- model-00004-of-00006.safetensors +3 -0
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- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +298 -0
- training_args.bin +3 -0
README.md
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---
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base_model: TinyPixel/Llama-2-7B-bf16-sharded
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tags:
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- generated_from_trainer
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model-index:
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- name: Llama-2-7B-bf16-sharded-fine
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Llama-2-7B-bf16-sharded-fine
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This model is a fine-tuned version of [TinyPixel/Llama-2-7B-bf16-sharded](https://huggingface.co/TinyPixel/Llama-2-7B-bf16-sharded) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1292
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 19 | 1.9070 |
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| No log | 2.0 | 38 | 1.9418 |
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| No log | 3.0 | 57 | 2.1292 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.2.1
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- Datasets 2.12.0
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- Tokenizers 0.15.1
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config.json
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"architectures": [
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"LlamaForCausalLM"
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],
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"model_type": "llama",
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}
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generation_config.json
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training_args.bin
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@@ -0,0 +1,3 @@
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