End of training
Browse files- README.md +165 -0
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- adapter_model.safetensors +3 -0
- config.json +32 -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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base_model: HuggingFaceH4/tiny-random-LlamaForCausalLM
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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: b6026f71-1b89-4193-bac5-26a9ca4336e5
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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: HuggingFaceH4/tiny-random-LlamaForCausalLM
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bf16: auto
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chat_template: llama3
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cosine_min_lr_ratio: 0.1
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data_processes: 16
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dataset_prepared_path: null
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datasets:
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- data_files:
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- 45161a929ca29037_train_data.json
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ds_type: json
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format: custom
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path: /workspace/input_data/45161a929ca29037_train_data.json
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type:
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field_input: cluster
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field_instruction: prompt
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field_output: category
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format: '{instruction} {input}'
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no_input_format: '{instruction}'
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system_format: '{system}'
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system_prompt: ''
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debug: null
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deepspeed: null
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device_map: auto
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do_eval: true
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early_stopping_patience: 1
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eval_batch_size: 1
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eval_sample_packing: false
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eval_steps: 25
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evaluation_strategy: steps
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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: 32
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gradient_checkpointing: true
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group_by_length: true
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hub_model_id: dada22231/b6026f71-1b89-4193-bac5-26a9ca4336e5
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hub_strategy: checkpoint
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hub_token: null
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learning_rate: 0.0001
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load_in_4bit: false
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load_in_8bit: false
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local_rank: null
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logging_steps: 1
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lora_alpha: 64
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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: 32
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lora_target_linear: true
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lora_target_modules:
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- q_proj
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- v_proj
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lr_scheduler: cosine
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max_grad_norm: 1.0
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max_memory:
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0: 70GiB
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1: 70GiB
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2: 70GiB
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3: 70GiB
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max_steps: 25
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micro_batch_size: 1
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mlflow_experiment_name: /tmp/45161a929ca29037_train_data.json
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model_type: AutoModelForCausalLM
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num_epochs: 3
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optim_args:
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adam_beta1: 0.9
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adam_beta2: 0.95
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adam_epsilon: 1e-5
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optimizer: adamw_torch
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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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save_steps: 25
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save_strategy: steps
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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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torch_compile: false
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train_on_inputs: false
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trust_remote_code: true
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val_set_size: 50
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wandb_entity: null
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wandb_mode: online
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wandb_name: b6026f71-1b89-4193-bac5-26a9ca4336e5
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wandb_project: Public_TuningSN
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wandb_runid: b6026f71-1b89-4193-bac5-26a9ca4336e5
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warmup_ratio: 0.04
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weight_decay: 0.01
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xformers_attention: null
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```
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</details><br>
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# b6026f71-1b89-4193-bac5-26a9ca4336e5
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This model is a fine-tuned version of [HuggingFaceH4/tiny-random-LlamaForCausalLM](https://huggingface.co/HuggingFaceH4/tiny-random-LlamaForCausalLM) on the None 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: 1
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- eval_batch_size: 1
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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: 32
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- total_train_batch_size: 128
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- total_eval_batch_size: 4
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+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
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- lr_scheduler_type: cosine
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- training_steps: 3
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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 4.46.0
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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": "HuggingFaceH4/tiny-random-LlamaForCausalLM",
|
5 |
+
"bias": "none",
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6 |
+
"fan_in_fan_out": null,
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+
"inference_mode": true,
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+
"init_lora_weights": true,
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9 |
+
"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": 64,
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+
"lora_dropout": 0.05,
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15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
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17 |
+
"modules_to_save": null,
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18 |
+
"peft_type": "LORA",
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19 |
+
"r": 32,
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20 |
+
"rank_pattern": {},
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+
"revision": null,
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22 |
+
"target_modules": [
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"up_proj",
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"k_proj",
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"gate_proj",
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"down_proj",
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"q_proj",
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+
"o_proj",
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+
"v_proj"
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30 |
+
],
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+
"task_type": "CAUSAL_LM",
|
32 |
+
"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 sha256:661a08d810a98d274bf5ce776307ccac848e56fb06de976b69feb1b69fc597f3
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size 104322
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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:de281eef1e738910d4544878a652066bbe644deac1fcb80e548c5881622d35d2
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size 97728
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config.json
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{
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+
"_attn_implementation_autoset": true,
|
3 |
+
"_name_or_path": "HuggingFaceH4/tiny-random-LlamaForCausalLM",
|
4 |
+
"architectures": [
|
5 |
+
"LlamaForCausalLM"
|
6 |
+
],
|
7 |
+
"attention_bias": false,
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"bos_token_id": 0,
|
10 |
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"eos_token_id": 2,
|
11 |
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"head_dim": 4,
|
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+
"hidden_act": "silu",
|
13 |
+
"hidden_size": 16,
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 64,
|
16 |
+
"max_position_embeddings": 2048,
|
17 |
+
"mlp_bias": false,
|
18 |
+
"model_type": "llama",
|
19 |
+
"num_attention_heads": 4,
|
20 |
+
"num_hidden_layers": 2,
|
21 |
+
"num_key_value_heads": 4,
|
22 |
+
"pad_token_id": -1,
|
23 |
+
"pretraining_tp": 1,
|
24 |
+
"rms_norm_eps": 1e-06,
|
25 |
+
"rope_scaling": null,
|
26 |
+
"rope_theta": 10000.0,
|
27 |
+
"tie_word_embeddings": false,
|
28 |
+
"torch_dtype": "float16",
|
29 |
+
"transformers_version": "4.46.0",
|
30 |
+
"use_cache": false,
|
31 |
+
"vocab_size": 32000
|
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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,
|
6 |
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"rstrip": false,
|
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"single_word": false
|
8 |
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},
|
9 |
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"eos_token": {
|
10 |
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"content": "</s>",
|
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"lstrip": false,
|
12 |
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"normalized": true,
|
13 |
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"rstrip": false,
|
14 |
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"single_word": false
|
15 |
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},
|
16 |
+
"pad_token": {
|
17 |
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"content": "</s>",
|
18 |
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"lstrip": false,
|
19 |
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"normalized": false,
|
20 |
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"rstrip": false,
|
21 |
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"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
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"content": "<unk>",
|
25 |
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"lstrip": false,
|
26 |
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"normalized": true,
|
27 |
+
"rstrip": false,
|
28 |
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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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The diff for this file is too large to render.
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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"lstrip": false,
|
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|
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},
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|
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|
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|
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"special": true
|
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},
|
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|
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|
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|
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|
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|
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"special": true
|
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}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
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": 2048,
|
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:eb09b24f0ec200208d088a691f65bc00c5642a412cb106339ecf5f199d26aa65
|
3 |
+
size 6840
|