End of training
Browse files- README.md +142 -0
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- adapter_model.safetensors +3 -0
- config.json +47 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
- training_args.bin +3 -0
README.md
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---
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library_name: peft
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license: apache-2.0
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base_model: princeton-nlp/Sheared-LLaMA-1.3B
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tags:
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- axolotl
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- generated_from_trainer
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model-index:
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- name: 837353c6-bfd2-4a87-979d-591305107c94
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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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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.4.1`
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```yaml
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adapter: lora
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base_model: princeton-nlp/Sheared-LLaMA-1.3B
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bf16: auto
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chat_template: llama3
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dataset_prepared_path: null
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datasets:
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- data_files:
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- d4aaa754d4db65bf_train_data.json
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ds_type: json
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field: text
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path: /workspace/input_data/d4aaa754d4db65bf_train_data.json
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type: completion
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debug: null
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deepspeed: null
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early_stopping_patience: null
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eval_max_new_tokens: 128
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eval_table_size: null
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evals_per_epoch: 1
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flash_attention: true
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fp16: null
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fsdp: null
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fsdp_config: null
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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group_by_length: false
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hub_model_id: nblinh/837353c6-bfd2-4a87-979d-591305107c94
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hub_repo: null
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hub_strategy: end
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hub_token: null
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learning_rate: 0.0001
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load_in_4bit: true
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load_in_8bit: true
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local_rank: null
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logging_steps: 1
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lora_alpha: 32
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lora_dropout: 0.05
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lora_fan_in_fan_out: null
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lora_model_dir: null
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lora_r: 16
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lora_target_linear: true
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lr_scheduler: cosine
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max_steps: 50
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micro_batch_size: 1
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mlflow_experiment_name: /tmp/d4aaa754d4db65bf_train_data.json
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model_type: AutoModelForCausalLM
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num_epochs: 1
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optimizer: adamw_bnb_8bit
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output_dir: miner_id_24
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pad_to_sequence_len: true
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resume_from_checkpoint: null
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s2_attention: null
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sample_packing: false
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saves_per_epoch: 1
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sequence_len: 2048
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special_tokens:
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pad_token: </s>
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strict: false
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tf32: false
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tokenizer_type: AutoTokenizer
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train_on_inputs: false
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trust_remote_code: true
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val_set_size: 0.05
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wandb_entity: null
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wandb_mode: online
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wandb_name: 837353c6-bfd2-4a87-979d-591305107c94
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid: 837353c6-bfd2-4a87-979d-591305107c94
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warmup_steps: 10
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weight_decay: 0.0
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xformers_attention: true
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```
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</details><br>
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# 837353c6-bfd2-4a87-979d-591305107c94
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This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7865
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- training_steps: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 3.0767 | 0.0009 | 50 | 2.7865 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.0
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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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": null,
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"base_model_name_or_path": "princeton-nlp/Sheared-LLaMA-1.3B",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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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": 0.05,
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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": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"v_proj",
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"k_proj",
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"up_proj",
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"o_proj",
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"q_proj",
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"down_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.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb06c73df6d661417c3b8caec8d6964778f90d00e3dc3209f99bbc3c6dcc2f71
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size 60086346
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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:d7f5281a7804cbb9641232517700b3f1b8a5c27d0ccc453fa1ab326c57b4bf03
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size 60010048
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config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "princeton-nlp/Sheared-LLaMA-1.3B",
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4 |
+
"architectures": [
|
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"LlamaForCausalLM"
|
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+
],
|
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+
"attention_bias": false,
|
8 |
+
"attention_dropout": 0.0,
|
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+
"bos_token_id": 1,
|
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+
"eos_token_id": 2,
|
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+
"head_dim": 128,
|
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+
"hidden_act": "silu",
|
13 |
+
"hidden_size": 2048,
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 5504,
|
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+
"max_position_embeddings": 4096,
|
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+
"mlp_bias": false,
|
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+
"model_type": "llama",
|
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+
"num_attention_heads": 16,
|
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+
"num_hidden_layers": 24,
|
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+
"num_key_value_heads": 16,
|
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+
"pad_token_id": 0,
|
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+
"pretraining_tp": 1,
|
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+
"quantization_config": {
|
25 |
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"_load_in_4bit": false,
|
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"_load_in_8bit": true,
|
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"bnb_4bit_compute_dtype": "float32",
|
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"bnb_4bit_quant_storage": "uint8",
|
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"bnb_4bit_quant_type": "fp4",
|
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+
"bnb_4bit_use_double_quant": false,
|
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+
"llm_int8_enable_fp32_cpu_offload": false,
|
32 |
+
"llm_int8_has_fp16_weight": false,
|
33 |
+
"llm_int8_skip_modules": null,
|
34 |
+
"llm_int8_threshold": 6.0,
|
35 |
+
"load_in_4bit": false,
|
36 |
+
"load_in_8bit": true,
|
37 |
+
"quant_method": "bitsandbytes"
|
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+
},
|
39 |
+
"rms_norm_eps": 1e-05,
|
40 |
+
"rope_scaling": null,
|
41 |
+
"rope_theta": 10000.0,
|
42 |
+
"tie_word_embeddings": false,
|
43 |
+
"torch_dtype": "float32",
|
44 |
+
"transformers_version": "4.46.0",
|
45 |
+
"use_cache": false,
|
46 |
+
"vocab_size": 32000
|
47 |
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
|
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},
|
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"eos_token": {
|
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"content": "</s>",
|
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"lstrip": false,
|
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"normalized": true,
|
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"rstrip": false,
|
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"single_word": false
|
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},
|
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"pad_token": {
|
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"content": "</s>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
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},
|
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"unk_token": {
|
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"content": "<unk>",
|
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"lstrip": false,
|
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"normalized": true,
|
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"rstrip": false,
|
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"single_word": false
|
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}
|
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}
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tokenizer.json
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See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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"special": true
|
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"special": true
|
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},
|
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|
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"content": "</s>",
|
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|
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|
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"single_word": false,
|
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}
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},
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"bos_token": "<s>",
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32 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:663dc0ff260c4f342cf9437f6b39800ad0b15e3ac1aa9dd3a065b1ee088b869b
|
3 |
+
size 6776
|