Model save
Browse files- README.md +58 -0
- all_results.json +9 -0
- config.json +1 -1
- generation_config.json +14 -0
- model.safetensors +1 -1
- runs/Mar11_17-20-56_h100-m-07/events.out.tfevents.1741674065.h100-m-07.1151483.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +756 -0
README.md
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---
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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library_name: transformers
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model_name: logsQwen2.5-0.5B-Instruct-math-gsm8k
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for logsQwen2.5-0.5B-Instruct-math-gsm8k
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="neurocoder/logsQwen2.5-0.5B-Instruct-math-gsm8k", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.14.0
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- Transformers: 4.48.2
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- Pytorch: 2.5.1
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- Datasets: 3.2.0
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- Tokenizers: 0.21.0
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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all_results.json
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{
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"epoch": 0.9995119570522206,
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"total_flos": 3518281600204800.0,
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"train_loss": 1.3758189086802304,
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"train_runtime": 549.4956,
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"train_samples": 7473,
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"train_samples_per_second": 14.915,
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"train_steps_per_second": 0.932
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}
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config.json
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.48.2",
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"use_cache":
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.48.2",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.1,
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"temperature": 0.7,
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"top_k": 20,
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"top_p": 0.8,
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"transformers_version": "4.48.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 988097824
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version https://git-lfs.github.com/spec/v1
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oid sha256:266a2dc7d9bc80e446f38e6d728f239890773ce51e34e46c8ca42f05348f3401
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size 988097824
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runs/Mar11_17-20-56_h100-m-07/events.out.tfevents.1741674065.h100-m-07.1151483.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff5a893d14961013a6ede0adc3e69aae937f25ffbabeaba1a3dfe53267e64545
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size 27321
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train_results.json
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{
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"epoch": 0.9995119570522206,
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"total_flos": 3518281600204800.0,
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"train_loss": 1.3758189086802304,
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"train_runtime": 549.4956,
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"train_samples": 7473,
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"train_samples_per_second": 14.915,
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"train_steps_per_second": 0.932
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}
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trainer_state.json
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|
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{
|
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"best_metric": null,
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"best_model_checkpoint": null,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
|
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"log_history": [
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{
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"epoch": 0.009760858955588092,
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"grad_norm": 23.375,
|
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"learning_rate": 0.0002,
|
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