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- Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-14-28-29.yml +70 -0
- README.md +170 -0
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- checkpoint-106/README.md +202 -0
- checkpoint-106/adapter_config.json +34 -0
- checkpoint-106/adapter_model.safetensors +3 -0
- checkpoint-106/optimizer.pt +3 -0
- checkpoint-106/rng_state.pth +3 -0
- checkpoint-106/scheduler.pt +3 -0
- checkpoint-106/special_tokens_map.json +38 -0
- checkpoint-106/tokenizer.json +0 -0
- checkpoint-106/tokenizer_config.json +0 -0
- checkpoint-106/trainer_state.json +855 -0
- checkpoint-106/training_args.bin +3 -0
- checkpoint-159/README.md +202 -0
- checkpoint-159/adapter_config.json +34 -0
- checkpoint-159/adapter_model.safetensors +3 -0
- checkpoint-159/optimizer.pt +3 -0
- checkpoint-159/rng_state.pth +3 -0
- checkpoint-159/scheduler.pt +3 -0
- checkpoint-159/special_tokens_map.json +38 -0
- checkpoint-159/tokenizer.json +0 -0
- checkpoint-159/tokenizer_config.json +0 -0
- checkpoint-159/trainer_state.json +1266 -0
- checkpoint-159/training_args.bin +3 -0
- checkpoint-212/README.md +202 -0
- checkpoint-212/adapter_config.json +34 -0
- checkpoint-212/adapter_model.safetensors +3 -0
- checkpoint-212/optimizer.pt +3 -0
- checkpoint-212/rng_state.pth +3 -0
- checkpoint-212/scheduler.pt +3 -0
- checkpoint-212/special_tokens_map.json +38 -0
- checkpoint-212/tokenizer.json +0 -0
- checkpoint-212/tokenizer_config.json +0 -0
- checkpoint-212/trainer_state.json +1677 -0
- checkpoint-212/training_args.bin +3 -0
- checkpoint-265/README.md +202 -0
- checkpoint-265/adapter_config.json +34 -0
- checkpoint-265/adapter_model.safetensors +3 -0
- checkpoint-265/optimizer.pt +3 -0
- checkpoint-265/rng_state.pth +3 -0
- checkpoint-265/scheduler.pt +3 -0
- checkpoint-265/special_tokens_map.json +38 -0
- checkpoint-265/tokenizer.json +0 -0
- checkpoint-265/tokenizer_config.json +0 -0
- checkpoint-265/trainer_state.json +2088 -0
- checkpoint-265/training_args.bin +3 -0
- checkpoint-315/README.md +202 -0
- checkpoint-315/adapter_config.json +34 -0
Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-14-28-29.yml
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base_model: Qwen/CodeQwen1.5-7B-Chat
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: /workspace/axolotl/vinh/PAL/input_output_qwen.json
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type: input_output
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dataset_prepared_path:
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val_set_size: 0.05
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eval_sample_packing: false
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output_dir: /workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-14-28-29
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sequence_len: 2048
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sample_packing: false
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pad_to_sequence_len: false
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adapter: lora
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lora_model_dir:
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lora_r: 64
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lora_alpha: 128
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lora_dropout: 0.05
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lora_target_linear: true
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lora_fan_in_fan_out:
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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gradient_accumulation_steps: 128
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micro_batch_size: 1
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num_epochs: 3
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optimizer: paged_adamw_32bit
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lr_scheduler: cosine
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learning_rate: 2e-4
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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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tf32: false
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gradient_checkpointing: false
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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s2_attention:
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loss_watchdog_threshold: 5.0
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loss_watchdog_patience: 3
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warmup_steps: 10
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evals_per_epoch: 10
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eval_table_size:
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eval_max_new_tokens: 512
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saves_per_epoch: 2
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save_total_limit: 20
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debug:
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deepspeed:
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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README.md
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---
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base_model: Qwen/CodeQwen1.5-7B-Chat
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library_name: peft
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license: other
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tags:
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- generated_from_trainer
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model-index:
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- name: workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-14-28-29
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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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base_model: Qwen/CodeQwen1.5-7B-Chat
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: /workspace/axolotl/vinh/PAL/input_output_qwen.json
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type: input_output
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31 |
+
dataset_prepared_path:
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32 |
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val_set_size: 0.05
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33 |
+
eval_sample_packing: false
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34 |
+
output_dir: /workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-14-28-29
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35 |
+
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36 |
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sequence_len: 2048
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37 |
+
sample_packing: false
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38 |
+
pad_to_sequence_len: false
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39 |
+
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adapter: lora
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lora_model_dir:
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42 |
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lora_r: 64
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43 |
+
lora_alpha: 128
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44 |
+
lora_dropout: 0.05
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45 |
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lora_target_linear: true
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46 |
+
lora_fan_in_fan_out:
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47 |
+
|
48 |
+
wandb_project:
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49 |
+
wandb_entity:
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50 |
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wandb_watch:
|
51 |
+
wandb_name:
|
52 |
+
wandb_log_model:
|
53 |
+
|
54 |
+
gradient_accumulation_steps: 128
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55 |
+
micro_batch_size: 1
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56 |
+
num_epochs: 3
|
57 |
+
optimizer: paged_adamw_32bit
|
58 |
+
lr_scheduler: cosine
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59 |
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learning_rate: 2e-4
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+
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+
train_on_inputs: false
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62 |
+
group_by_length: false
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+
bf16: auto
|
64 |
+
fp16:
|
65 |
+
tf32: false
|
66 |
+
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+
gradient_checkpointing: false
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68 |
+
early_stopping_patience:
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+
resume_from_checkpoint:
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+
local_rank:
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+
logging_steps: 1
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+
xformers_attention:
|
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+
flash_attention: true
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s2_attention:
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+
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loss_watchdog_threshold: 5.0
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+
loss_watchdog_patience: 3
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+
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warmup_steps: 10
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evals_per_epoch: 10
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eval_table_size:
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eval_max_new_tokens: 512
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83 |
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saves_per_epoch: 2
|
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save_total_limit: 20
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debug:
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deepspeed:
|
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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```
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</details><br>
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# workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-14-28-29
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This model is a fine-tuned version of [Qwen/CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0411
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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: 0.0002
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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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- gradient_accumulation_steps: 128
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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: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.3706 | 0.0095 | 1 | 0.3514 |
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| 0.1022 | 0.1043 | 11 | 0.0935 |
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| 0.0636 | 0.2086 | 22 | 0.0700 |
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| 0.0624 | 0.3129 | 33 | 0.0633 |
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| 0.0638 | 0.4172 | 44 | 0.0579 |
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| 0.0587 | 0.5214 | 55 | 0.0547 |
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| 0.0512 | 0.6257 | 66 | 0.0520 |
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| 0.0505 | 0.7300 | 77 | 0.0496 |
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| 0.0431 | 0.8343 | 88 | 0.0481 |
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| 0.0437 | 0.9386 | 99 | 0.0460 |
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| 0.0346 | 1.0429 | 110 | 0.0450 |
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| 0.0366 | 1.1472 | 121 | 0.0448 |
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| 0.0329 | 1.2515 | 132 | 0.0443 |
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| 0.0385 | 1.3558 | 143 | 0.0437 |
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| 0.0326 | 1.4600 | 154 | 0.0438 |
|
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| 0.0331 | 1.5643 | 165 | 0.0426 |
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| 0.036 | 1.6686 | 176 | 0.0415 |
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| 0.0352 | 1.7729 | 187 | 0.0411 |
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| 0.0267 | 1.8772 | 198 | 0.0405 |
|
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| 0.0304 | 1.9815 | 209 | 0.0404 |
|
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| 0.0251 | 2.0858 | 220 | 0.0407 |
|
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| 0.0197 | 2.1901 | 231 | 0.0423 |
|
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| 0.0221 | 2.2943 | 242 | 0.0421 |
|
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| 0.0252 | 2.3986 | 253 | 0.0413 |
|
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| 0.019 | 2.5029 | 264 | 0.0411 |
|
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| 0.0208 | 2.6072 | 275 | 0.0411 |
|
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| 0.028 | 2.7115 | 286 | 0.0411 |
|
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| 0.0296 | 2.8158 | 297 | 0.0411 |
|
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| 0.0224 | 2.9201 | 308 | 0.0411 |
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|
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|
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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+cu118
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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/CodeQwen1.5-7B-Chat",
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"bias": "none",
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6 |
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"fan_in_fan_out": null,
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"inference_mode": true,
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8 |
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"init_lora_weights": true,
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9 |
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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,
|
14 |
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"lora_dropout": 0.05,
|
15 |
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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": 64,
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"rank_pattern": {},
|
21 |
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"revision": null,
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"target_modules": [
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"k_proj",
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"q_proj",
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"v_proj",
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"down_proj",
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27 |
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"o_proj",
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"up_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,
|
33 |
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"use_rslora": false
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34 |
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}
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adapter_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:6429b4780e1a46d5f2383f1f9295375baecb165782487ef3499225447ae9a427
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size 320501834
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checkpoint-106/README.md
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---
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base_model: Qwen/CodeQwen1.5-7B-Chat
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library_name: peft
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---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
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+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
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- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
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- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
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|
38 |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
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|
40 |
+
### Direct Use
|
41 |
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|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
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[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
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|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
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#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
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|
135 |
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## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
checkpoint-106/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
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|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 128,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 64,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"k_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"down_proj",
|
27 |
+
"o_proj",
|
28 |
+
"up_proj",
|
29 |
+
"gate_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-106/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e3e85542564b0331cd6b29d798a067e2db3cea74d5a121a9603ee487f8606ae2
|
3 |
+
size 320400712
|
checkpoint-106/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a2fabe91a3a4dac73f51b36d0924a853c89fe19c77be9211c2ae0554740e737b
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size 1281635322
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checkpoint-106/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:db05c55a0447a6f79c8084358c68d6e78375e06538cd827525c67b83ed1de41a
|
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size 14244
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checkpoint-106/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:d5c6ccb73029ede53fae960610ee97663cfd6cf8234ebdac5276096c0b56e952
|
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size 1064
|
checkpoint-106/special_tokens_map.json
ADDED
@@ -0,0 +1,38 @@
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1 |
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{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<fim_prefix>",
|
6 |
+
"<fim_middle>",
|
7 |
+
"<fim_suffix>",
|
8 |
+
"<fim_pad>"
|
9 |
+
],
|
10 |
+
"bos_token": {
|
11 |
+
"content": "<|endoftext|>",
|
12 |
+
"lstrip": false,
|
13 |
+
"normalized": false,
|
14 |
+
"rstrip": false,
|
15 |
+
"single_word": false
|
16 |
+
},
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<fim_pad>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
},
|
31 |
+
"unk_token": {
|
32 |
+
"content": "<unk>",
|
33 |
+
"lstrip": false,
|
34 |
+
"normalized": false,
|
35 |
+
"rstrip": false,
|
36 |
+
"single_word": false
|
37 |
+
}
|
38 |
+
}
|
checkpoint-106/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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|
checkpoint-106/tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
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|
checkpoint-106/trainer_state.json
ADDED
@@ -0,0 +1,855 @@
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1 |
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---
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2 |
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base_model: Qwen/CodeQwen1.5-7B-Chat
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
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6 |
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# Model Card for Model ID
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7 |
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|
8 |
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<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
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|
12 |
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## Model Details
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13 |
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|
14 |
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### Model Description
|
15 |
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|
16 |
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<!-- Provide a longer summary of what this model is. -->
|
17 |
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|
18 |
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|
19 |
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|
20 |
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- **Developed by:** [More Information Needed]
|
21 |
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- **Funded by [optional]:** [More Information Needed]
|
22 |
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- **Shared by [optional]:** [More Information Needed]
|
23 |
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- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
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28 |
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### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
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32 |
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- **Repository:** [More Information Needed]
|
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+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
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36 |
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## Uses
|
37 |
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|
38 |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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39 |
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### Direct Use
|
41 |
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42 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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43 |
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44 |
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[More Information Needed]
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46 |
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### Downstream Use [optional]
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47 |
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|
48 |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
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|
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[More Information Needed]
|
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52 |
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### Out-of-Scope Use
|
53 |
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54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
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|
56 |
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[More Information Needed]
|
57 |
+
|
58 |
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## Bias, Risks, and Limitations
|
59 |
+
|
60 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
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|
62 |
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[More Information Needed]
|
63 |
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### Recommendations
|
65 |
+
|
66 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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67 |
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|
68 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
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|
70 |
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## How to Get Started with the Model
|
71 |
+
|
72 |
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Use the code below to get started with the model.
|
73 |
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|
74 |
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[More Information Needed]
|
75 |
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|
76 |
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## Training Details
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77 |
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|
78 |
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### Training Data
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79 |
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80 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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81 |
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[More Information Needed]
|
83 |
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### Training Procedure
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86 |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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100 |
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|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
checkpoint-159/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
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|
|
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|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
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|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 128,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 64,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"k_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"down_proj",
|
27 |
+
"o_proj",
|
28 |
+
"up_proj",
|
29 |
+
"gate_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-159/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4de756e94e204010bf9f24142efdfce8682059a884936048676f756bb70fd107
|
3 |
+
size 320400712
|
checkpoint-159/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:2cd2294c67b6581002883e07b97ba60369c8c08856b1182ae6c6b71de426ff53
|
3 |
+
size 1281635322
|
checkpoint-159/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:4f0de0479c929a4c119257089a6bc200c9818b240b5dad85f85b6ea60aab2e1b
|
3 |
+
size 14244
|
checkpoint-159/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:19809e3e9f97211f78c8259943f11fd298a3c4adde59e98dc5f42c9c642f8a96
|
3 |
+
size 1064
|
checkpoint-159/special_tokens_map.json
ADDED
@@ -0,0 +1,38 @@
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|
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{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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"<fim_prefix>",
|
6 |
+
"<fim_middle>",
|
7 |
+
"<fim_suffix>",
|
8 |
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"<fim_pad>"
|
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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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|
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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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|
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|
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|
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"pad_token": {
|
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"content": "<fim_pad>",
|
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|
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+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
},
|
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"unk_token": {
|
32 |
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|
33 |
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|
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|
35 |
+
"rstrip": false,
|
36 |
+
"single_word": false
|
37 |
+
}
|
38 |
+
}
|
checkpoint-159/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-159/tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-159/trainer_state.json
ADDED
@@ -0,0 +1,1266 @@
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1 |
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---
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2 |
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base_model: Qwen/CodeQwen1.5-7B-Chat
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
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7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
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### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
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40 |
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### Direct Use
|
41 |
+
|
42 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
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[More Information Needed]
|
45 |
+
|
46 |
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### Downstream Use [optional]
|
47 |
+
|
48 |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
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[More Information Needed]
|
51 |
+
|
52 |
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### Out-of-Scope Use
|
53 |
+
|
54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
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### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
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## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
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80 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
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|
82 |
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[More Information Needed]
|
83 |
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|
84 |
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### Training Procedure
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85 |
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|
86 |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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|
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#### Preprocessing [optional]
|
89 |
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|
90 |
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[More Information Needed]
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91 |
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|
92 |
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|
93 |
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#### Training Hyperparameters
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94 |
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95 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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96 |
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#### Speeds, Sizes, Times [optional]
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98 |
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99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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100 |
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101 |
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[More Information Needed]
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## Evaluation
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104 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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108 |
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#### Testing Data
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110 |
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111 |
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<!-- This should link to a Dataset Card if possible. -->
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112 |
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113 |
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[More Information Needed]
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114 |
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#### Factors
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116 |
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|
117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
checkpoint-212/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
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|
|
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|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
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|
11 |
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|
12 |
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"loftq_config": {},
|
13 |
+
"lora_alpha": 128,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
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"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 64,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"k_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"down_proj",
|
27 |
+
"o_proj",
|
28 |
+
"up_proj",
|
29 |
+
"gate_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-212/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c24781d995a138e9e9f2a481b59b174162935c2522abe9bf97aceba309201797
|
3 |
+
size 320400712
|
checkpoint-212/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:c2379da861a413ef040def65b3f2acfb632bc98a29cbd5e6a5c521c90189b0a5
|
3 |
+
size 1281635322
|
checkpoint-212/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:b798e7df4310fb09735b2833e65105c5f1706ed578d4c7868da7d1d8e230ae3c
|
3 |
+
size 14244
|
checkpoint-212/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:a214afa28cba8a61e5d4cc1d5f61fa340ffd678157072501b9e9dc32eae8fe12
|
3 |
+
size 1064
|
checkpoint-212/special_tokens_map.json
ADDED
@@ -0,0 +1,38 @@
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|
1 |
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{
|
2 |
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"additional_special_tokens": [
|
3 |
+
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|
4 |
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"<|im_end|>",
|
5 |
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"<fim_prefix>",
|
6 |
+
"<fim_middle>",
|
7 |
+
"<fim_suffix>",
|
8 |
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"<fim_pad>"
|
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+
],
|
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|
11 |
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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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|
18 |
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"content": "<|im_end|>",
|
19 |
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|
20 |
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"normalized": false,
|
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"rstrip": false,
|
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|
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},
|
24 |
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"pad_token": {
|
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"content": "<fim_pad>",
|
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|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
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"single_word": false
|
30 |
+
},
|
31 |
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"unk_token": {
|
32 |
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"content": "<unk>",
|
33 |
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|
34 |
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"normalized": false,
|
35 |
+
"rstrip": false,
|
36 |
+
"single_word": false
|
37 |
+
}
|
38 |
+
}
|
checkpoint-212/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-212/tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-212/trainer_state.json
ADDED
@@ -0,0 +1,1677 @@
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1 |
+
---
|
2 |
+
base_model: Qwen/CodeQwen1.5-7B-Chat
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.11.1
|
checkpoint-265/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 128,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 64,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"k_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"down_proj",
|
27 |
+
"o_proj",
|
28 |
+
"up_proj",
|
29 |
+
"gate_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
checkpoint-265/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bd516715fd10d60de60bfbb44451b4724b169d7c8b98227aed2c29a7a2adcae8
|
3 |
+
size 320400712
|
checkpoint-265/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f43c28021ef9128679e69c902cb17292193ff3f5fc6cf7ec5eab46a83e523915
|
3 |
+
size 1281635770
|
checkpoint-265/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9cf003685e79dd6103ae1f32608518080e27c41abeb9a9eb2d6ce01e12cc9b29
|
3 |
+
size 14244
|
checkpoint-265/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:180da771da4514ced7b8aa789fc9f0fe493376eeccc8ade7d6e8771efc347274
|
3 |
+
size 1064
|
checkpoint-265/special_tokens_map.json
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<fim_prefix>",
|
6 |
+
"<fim_middle>",
|
7 |
+
"<fim_suffix>",
|
8 |
+
"<fim_pad>"
|
9 |
+
],
|
10 |
+
"bos_token": {
|
11 |
+
"content": "<|endoftext|>",
|
12 |
+
"lstrip": false,
|
13 |
+
"normalized": false,
|
14 |
+
"rstrip": false,
|
15 |
+
"single_word": false
|
16 |
+
},
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<fim_pad>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
},
|
31 |
+
"unk_token": {
|
32 |
+
"content": "<unk>",
|
33 |
+
"lstrip": false,
|
34 |
+
"normalized": false,
|
35 |
+
"rstrip": false,
|
36 |
+
"single_word": false
|
37 |
+
}
|
38 |
+
}
|
checkpoint-265/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-265/tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-265/trainer_state.json
ADDED
@@ -0,0 +1,2088 @@
|
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1 |
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---
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2 |
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base_model: Qwen/CodeQwen1.5-7B-Chat
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
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7 |
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|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
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|
12 |
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## Model Details
|
13 |
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|
14 |
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### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
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|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
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- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
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## Uses
|
37 |
+
|
38 |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
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40 |
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### Direct Use
|
41 |
+
|
42 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
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[More Information Needed]
|
45 |
+
|
46 |
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### Downstream Use [optional]
|
47 |
+
|
48 |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
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[More Information Needed]
|
51 |
+
|
52 |
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### Out-of-Scope Use
|
53 |
+
|
54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
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### Recommendations
|
65 |
+
|
66 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
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|
70 |
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## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
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|
74 |
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[More Information Needed]
|
75 |
+
|
76 |
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## Training Details
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77 |
+
|
78 |
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### Training Data
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79 |
+
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80 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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81 |
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|
82 |
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[More Information Needed]
|
83 |
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|
84 |
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### Training Procedure
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85 |
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|
86 |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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89 |
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90 |
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[More Information Needed]
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91 |
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|
92 |
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93 |
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#### Training Hyperparameters
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94 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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96 |
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#### Speeds, Sizes, Times [optional]
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98 |
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99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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100 |
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|
101 |
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[More Information Needed]
|
102 |
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|
103 |
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## Evaluation
|
104 |
+
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
|
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|
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<!-- This should link to a Dataset Card if possible. -->
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|
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[More Information Needed]
|
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|
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#### Factors
|
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|
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
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|
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[More Information Needed]
|
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|
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#### Metrics
|
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|
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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|
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[More Information Needed]
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|
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### Results
|
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|
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[More Information Needed]
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|
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#### Summary
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|
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|
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+
|
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## Model Examination [optional]
|
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+
|
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+
<!-- Relevant interpretability work for the model goes here -->
|
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+
|
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[More Information Needed]
|
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+
|
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+
## Environmental Impact
|
142 |
+
|
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+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
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|
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+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
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- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
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|
161 |
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[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
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[More Information Needed]
|
166 |
+
|
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#### Software
|
168 |
+
|
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[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
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+
|
202 |
+
- PEFT 0.11.1
|
checkpoint-315/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
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|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 128,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 64,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"k_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"down_proj",
|
27 |
+
"o_proj",
|
28 |
+
"up_proj",
|
29 |
+
"gate_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|