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Browse files- README.md +80 -0
- adapter_model.safetensors +1 -1
README.md
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---
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license: bigscience-bloom-rail-1.0
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library_name: peft
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tags:
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- llama-factory
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- generated_from_trainer
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base_model: bigscience/bloom-7b1
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model-index:
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- name: BLOOM_AAID_structured_train
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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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# BLOOM_AAID_structured_train
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This model is a fine-tuned version of [bigscience/bloom-7b1](https://huggingface.co/bigscience/bloom-7b1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8371
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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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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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.7338 | 0.0109 | 10 | 0.9125 |
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| 0.6341 | 0.0219 | 20 | 0.8568 |
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| 0.5526 | 0.0328 | 30 | 0.8991 |
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| 0.5651 | 0.0438 | 40 | 0.8944 |
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| 0.5392 | 0.0547 | 50 | 0.8796 |
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| 0.5038 | 0.0656 | 60 | 0.8612 |
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| 0.4904 | 0.0766 | 70 | 0.8335 |
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| 0.476 | 0.0875 | 80 | 0.8787 |
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| 0.4819 | 0.0984 | 90 | 0.8442 |
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| 0.4376 | 0.1094 | 100 | 0.8534 |
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| 0.4443 | 0.1203 | 110 | 0.8331 |
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| 0.44 | 0.1313 | 120 | 0.8530 |
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| 0.4362 | 0.1422 | 130 | 0.8594 |
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| 0.4273 | 0.1531 | 140 | 0.8177 |
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| 0.438 | 0.1641 | 150 | 0.8450 |
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| 0.4234 | 0.1750 | 160 | 0.8484 |
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| 0.4254 | 0.1859 | 170 | 0.8263 |
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| 0.4074 | 0.1969 | 180 | 0.8609 |
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| 0.4209 | 0.2078 | 190 | 0.8371 |
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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 2.3.0+cu121
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- Datasets 2.19.1
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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 62948128
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b58ba4cb36280f2d4f2afa8bcf71b8a63640bdccf2b44e5867d193f1a81460e
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size 62948128
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