Qwen2-0.5B-Instruct-ru-lora
Browse files- README.md +61 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +5 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- merges.txt +0 -0
- runs/Jun07_16-52-07_7c8c7a5b99aa/events.out.tfevents.1717779205.7c8c7a5b99aa.1602.0 +3 -0
- runs/Jun07_16-52-07_7c8c7a5b99aa/events.out.tfevents.1717783807.7c8c7a5b99aa.1602.1 +3 -0
- runs/Jun07_16-52-07_7c8c7a5b99aa/events.out.tfevents.1717784106.7c8c7a5b99aa.1602.2 +3 -0
- runs/Jun07_16-52-07_7c8c7a5b99aa/events.out.tfevents.1717784686.7c8c7a5b99aa.1602.3 +3 -0
- special_tokens_map.json +14 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +8 -0
- trainer_state.json +133 -0
- training_args.bin +3 -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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- trl
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- sft
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- generated_from_trainer
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base_model: Qwen/Qwen2-0.5B-Instruct
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datasets:
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- generator
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model-index:
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- name: qwen2
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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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# qwen2
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This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3740
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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: 0.0003
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 0
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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_ratio: 0.2
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- num_epochs: 1
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### Training results
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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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/Qwen2-0.5B-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"gate_proj",
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"k_proj",
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"down_proj",
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"up_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.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:47b4e4440d86e928350cc61daa30bec5d98deec2324955ca30c079e8323f9677
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size 17640808
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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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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 1.3739961385726929,
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"eval_runtime": 16.6407,
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"eval_samples": 1506,
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"eval_samples_per_second": 7.452,
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"eval_steps_per_second": 1.863,
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"total_flos": 5010632390737920.0,
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"train_loss": 1.4269454736503766,
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"train_runtime": 555.1964,
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"train_samples_per_second": 2.003,
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"train_steps_per_second": 0.501
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}
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eval_results.json
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"epoch": 1.0,
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"eval_loss": 1.3739961385726929,
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"eval_samples_per_second": 7.452,
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"eval_steps_per_second": 1.863
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}
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merges.txt
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runs/Jun07_16-52-07_7c8c7a5b99aa/events.out.tfevents.1717779205.7c8c7a5b99aa.1602.0
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runs/Jun07_16-52-07_7c8c7a5b99aa/events.out.tfevents.1717783807.7c8c7a5b99aa.1602.1
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runs/Jun07_16-52-07_7c8c7a5b99aa/events.out.tfevents.1717784106.7c8c7a5b99aa.1602.2
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runs/Jun07_16-52-07_7c8c7a5b99aa/events.out.tfevents.1717784686.7c8c7a5b99aa.1602.3
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special_tokens_map.json
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{
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tokenizer.json
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tokenizer_config.json
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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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train_results.json
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trainer_state.json
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