Upload 10 files
Browse files- README.md +133 -0
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- added_tokens.json +5 -0
- config.json +42 -0
- merges.txt +0 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: Qwen/Qwen2-7B
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model-index:
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- name: outputs/out
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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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/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: qlora
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base_model: Qwen/Qwen2-7B
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bf16: auto
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dataset_prepared_path: null
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datasets:
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- path: ResplendentAI/Synthetic_Soul_1k
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type: alpaca
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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_sample_packing: false
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evals_per_epoch: 2
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flash_attention: true
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fp16: null
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gradient_accumulation_steps: 4
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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group_by_length: false
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learning_rate: 2.0e-05
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load_in_4bit: true
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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: 128
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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: 128
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lora_target_linear: true
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lr_scheduler: cosine
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micro_batch_size: 4
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num_epochs: 4
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optimizer: adamw_torch
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output_dir: ./outputs/out
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pad_to_sequence_len: false
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resume_from_checkpoint: null
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sample_packing: false
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saves_per_epoch: 1
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sequence_len: 8192
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special_tokens: null
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strict: false
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tf32: true
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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_log_model: null
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wandb_name: null
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wandb_project: null
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wandb_watch: null
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warmup_steps: 10
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weight_decay: 0.0
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xformers_attention: null
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```
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</details><br>
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# outputs/out
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This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4422
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_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_steps: 10
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.8248 | 0.0168 | 1 | 1.7354 |
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| 1.2323 | 0.5042 | 30 | 1.4900 |
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| 1.2644 | 1.0084 | 60 | 1.4405 |
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| 1.1181 | 1.5126 | 90 | 1.4438 |
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| 1.0902 | 2.0168 | 120 | 1.4244 |
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| 1.0422 | 2.5210 | 150 | 1.4514 |
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| 1.0635 | 3.0252 | 180 | 1.4363 |
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| 0.9551 | 3.5294 | 210 | 1.4422 |
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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 2.1.2+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": "Qwen/Qwen2-7B",
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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": 128,
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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": 128,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"down_proj",
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"q_proj",
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"gate_proj",
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"k_proj",
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"o_proj",
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"v_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 sha256:2e39bb8e9f5da59c5413b36ce65ca392002b13d3c4675c74676793d386e12867
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size 646064554
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen2-7B",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"max_position_embeddings": 131072,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"quantization_config": {
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"_load_in_4bit": true,
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"_load_in_8bit": false,
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"bnb_4bit_compute_dtype": "bfloat16",
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"bnb_4bit_quant_storage": "bfloat16",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": true,
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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": true,
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"load_in_8bit": false,
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"quant_method": "bitsandbytes"
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},
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 131072,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.1",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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merges.txt
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"eos_token": {
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"content": "<|endoftext|>",
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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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"pad_token": {
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"content": "<|endoftext|>",
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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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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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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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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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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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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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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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"special": true
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}
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},
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": null,
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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vocab.json
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