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Parent(s):
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End of training
Browse files- README.md +84 -0
- adapter_model.safetensors +1 -1
README.md
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---
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language:
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- zh
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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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- nycu-112-2-deeplearning-hw2
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- generated_from_trainer
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base_model: MediaTek-Research/Breeze-7B-Instruct-v1_0
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datasets:
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- DandinPower/ZH-Reading-Comprehension-Breeze-Instruct
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model-index:
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- name: breeze_7b_lora_completion_only_5_epochs
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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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# breeze_7b_lora_completion_only_5_epochs
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This model is a fine-tuned version of [MediaTek-Research/Breeze-7B-Instruct-v1_0](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0) on the DandinPower/ZH-Reading-Comprehension-Breeze-Instruct dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1658
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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: 0.0001
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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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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- total_eval_batch_size: 2
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 700
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.1419 | 0.3690 | 250 | 0.1250 |
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| 0.1404 | 0.7380 | 500 | 0.1611 |
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| 0.1554 | 1.1070 | 750 | 0.1358 |
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| 0.1426 | 1.4760 | 1000 | 0.1543 |
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| 0.1194 | 1.8450 | 1250 | 0.1823 |
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| 0.0865 | 2.2140 | 1500 | 0.1511 |
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| 0.0728 | 2.5830 | 1750 | 0.1463 |
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| 0.4116 | 2.9520 | 2000 | 0.1224 |
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| 0.0405 | 3.3210 | 2250 | 0.1939 |
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| 0.0573 | 3.6900 | 2500 | 0.1324 |
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| 0.0237 | 4.0590 | 2750 | 0.1657 |
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| 0.0208 | 4.4280 | 3000 | 0.1818 |
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| 0.0111 | 4.7970 | 3250 | 0.1658 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 54543312
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa3578f76cf34238f18004194db0b4600cf2670f7cc3379eee71467245894a52
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size 54543312
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