Model save
Browse files- README.md +9 -17
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- all_results.json +6 -6
- runs/Jun05_21-11-52_COE-CS-sv003/events.out.tfevents.1717621973.COE-CS-sv003.73592.0 +3 -0
- tokenizer.json +1 -6
- train_results.json +6 -6
- trainer_state.json +11 -40
- training_args.bin +1 -1
README.md
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---
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license: llama3
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- generated_from_trainer
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- HuggingFaceH4/ultrachat_200k
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model-index:
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- name: llama5pEnt
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results: []
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# llama5pEnt
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.0853
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## Model description
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices:
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- gradient_accumulation_steps: 8
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- total_train_batch_size:
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- total_eval_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.8639 | 0.9993 | 541 | 1.0853 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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---
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license: llama3
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library_name: peft
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tags:
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- trl
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- sft
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- alignment-handbook
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- generated_from_trainer
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base_model: meta-llama/Meta-Llama-3-8B
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model-index:
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- name: llama5pEnt
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results: []
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# llama5pEnt
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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## Model description
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- total_eval_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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### Training results
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Meta-Llama-3-8B",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"loftq_config": {},
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"lora_alpha": 8,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 6,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"o_proj",
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"v_proj",
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"k_proj",
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"up_proj",
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"down_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:41e632f4ebe506c85e162673d7f28cf041677a88d7d69aabaae11cd6bda63de0
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size 62973728
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all_results.json
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runs/Jun05_21-11-52_COE-CS-sv003/events.out.tfevents.1717621973.COE-CS-sv003.73592.0
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tokenizer.json
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train_results.json
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trainer_state.json
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training_args.bin
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