yinmingzhang
commited on
Commit
•
664c53d
1
Parent(s):
61898c1
Model save
Browse files- README.md +70 -0
- added_tokens.json +5 -0
- all_results.json +14 -0
- config.json +29 -0
- eval_results.json +8 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +21 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +9 -0
- trainer_state.json +1814 -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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base_model: Qwen/Qwen2-0.5B
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tags:
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- trl
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- sft
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: qwen2-0.5b-sft
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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/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mzyin-university-of-florida/huggingface/runs/eizi1rvf)
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# qwen2-0.5b-sft
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This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5327
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 3
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 192
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- total_eval_batch_size: 24
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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: 0.1
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.526 | 0.9993 | 1258 | 1.5327 |
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### Framework versions
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- Transformers 4.42.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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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": 0.9993049349617714,
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"eval_loss": 1.5326406955718994,
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"eval_runtime": 222.9042,
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"eval_samples": 23109,
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"eval_samples_per_second": 119.98,
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"eval_steps_per_second": 5.002,
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"total_flos": 106161864966144.0,
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"train_loss": 1.5477431688475496,
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"train_runtime": 10888.6684,
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"train_samples": 207864,
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"train_samples_per_second": 22.196,
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"train_steps_per_second": 0.116
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen2-0.5B",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151644,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 896,
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"initializer_range": 0.02,
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"intermediate_size": 4864,
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"max_position_embeddings": 131072,
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"max_window_layers": 24,
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"model_type": "qwen2",
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"num_attention_heads": 14,
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"num_hidden_layers": 24,
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"num_key_value_heads": 2,
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"pad_token_id": 151645,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 131072,
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"tie_word_embeddings": true,
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"torch_dtype": "float16",
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"transformers_version": "4.42.0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151646
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}
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eval_results.json
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{
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"epoch": 0.9993049349617714,
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"eval_loss": 1.5326406955718994,
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"eval_runtime": 222.9042,
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"eval_samples": 23109,
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"eval_samples_per_second": 119.98,
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"eval_steps_per_second": 5.002
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}
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generation_config.json
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{
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"bos_token_id": 151644,
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"eos_token_id": 151645,
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"max_new_tokens": 2048,
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"pad_token_id": 151645,
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"transformers_version": "4.42.0"
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:64fded441dd08833ed6f9e8a9fd34c53e165334909ebca5924e6e406eb390598
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size 987577856
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special_tokens_map.json
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{
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"additional_special_tokens": [
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{
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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{
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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],
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"bos_token": "<|im_start|>",
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"eos_token": "<|im_end|>",
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"pad_token": "<|im_end|>"
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}
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": "<|im_start|>",
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"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|im_end|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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train_results.json
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{
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"epoch": 0.9993049349617714,
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"total_flos": 106161864966144.0,
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"train_loss": 1.5477431688475496,
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"train_runtime": 10888.6684,
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"train_samples": 207864,
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"train_samples_per_second": 22.196,
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"train_steps_per_second": 0.116
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}
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trainer_state.json
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