Model save
Browse files- .gitattributes +1 -0
- README.md +56 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- config.json +39 -0
- special_tokens_map.json +17 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
- trainer_state.json +98 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: meta-llama/Llama-3.2-3B-Instruct
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library_name: peft
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license: llama3.2
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tags:
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- generated_from_trainer
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model-index:
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- name: Instruments-8bit-3B
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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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# Instruments-8bit-3B
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset.
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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: 0.0001
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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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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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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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- lr_scheduler_warmup_steps: 2
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- num_epochs: 2
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### Training results
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.45.2
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- Pytorch 2.4.1
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- Tokenizers 0.20.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "LlamaForCausalLM",
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"parent_library": "transformers.models.llama.modeling_llama"
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},
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"base_model_name_or_path": "meta-llama/Llama-3.2-3B-Instruct",
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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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"init_lora_weights": "gaussian",
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"up_proj",
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"o_proj",
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"q_proj",
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"k_proj",
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"gate_proj",
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"v_proj"
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],
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"task_type": null,
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"use_dora": true,
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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:a4296b9cf510cd2dd41ae8bf4eb415a592e7aba73769a261849b22435972f91f
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size 1639093264
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 24,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"factor": 32.0,
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"rope_type": "llama3"
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"use_cache": true,
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}
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special_tokens_map.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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trainer_state.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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