End of training
Browse files- README.md +75 -0
- adapter_model.safetensors +1 -1
README.md
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---
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base_model: ybelkada/falcon-7b-sharded-bf16
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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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- generated_from_trainer
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model-index:
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- name: my_thesis
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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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# my_thesis
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This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2940
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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: 0.0002
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 4
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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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- training_steps: 320
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.0695 | 0.1794 | 20 | 1.7234 |
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| 1.7581 | 0.3587 | 40 | 1.3875 |
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| 1.6152 | 0.5381 | 60 | 1.3234 |
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| 1.7435 | 0.7175 | 80 | 1.2944 |
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| 1.3584 | 0.8969 | 100 | 1.2529 |
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| 1.385 | 1.0762 | 120 | 1.2271 |
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| 1.3231 | 1.2556 | 140 | 1.3666 |
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| 1.2051 | 1.4350 | 160 | 1.2044 |
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| 1.1207 | 1.6143 | 180 | 1.2379 |
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| 1.1716 | 1.7937 | 200 | 1.1969 |
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| 1.31 | 1.9731 | 220 | 1.2153 |
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| 0.9115 | 2.1525 | 240 | 1.2411 |
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| 0.7857 | 2.3318 | 260 | 1.2940 |
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### Framework versions
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- PEFT 0.12.1.dev0
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- Transformers 4.43.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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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 261131840
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4342dd9a35a17fc22a128ca4b9726e68a76353541ca4a5eb1787dd496e23c82
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size 261131840
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