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Browse files- README.md +71 -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_new_mixed_train_final_2
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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_new_mixed_train_final_2
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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: 0.8901
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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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- lr_scheduler_warmup_ratio: 0.03
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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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| 2.1275 | 0.0438 | 40 | 0.8731 |
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| 0.5607 | 0.0875 | 80 | 0.9147 |
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| 0.4772 | 0.1313 | 120 | 0.8467 |
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| 0.4536 | 0.1750 | 160 | 0.8316 |
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| 0.4388 | 0.2188 | 200 | 0.8364 |
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| 0.4156 | 0.2625 | 240 | 0.8320 |
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| 0.4083 | 0.3063 | 280 | 0.8594 |
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| 0.397 | 0.3500 | 320 | 0.8598 |
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| 0.3887 | 0.3938 | 360 | 0.8901 |
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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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version https://git-lfs.github.com/spec/v1
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-
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size 62948128
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version https://git-lfs.github.com/spec/v1
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oid sha256:c207c74c070de28547732b494e61e044779a77640460176da2cbc4db21d89c35
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size 62948128
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