End of training
Browse files- README.md +75 -0
- adapter_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: tiiuae/falcon-7b
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tags:
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- generated_from_trainer
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model-index:
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- name: falcon-generate-560-smallset
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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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# falcon-generate-560-smallset
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This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2138
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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: 0.0005
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.5842 | 0.21 | 10 | 2.1612 |
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| 2.1402 | 0.43 | 20 | 1.6726 |
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| 1.2388 | 0.64 | 30 | 1.7379 |
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| 1.593 | 0.85 | 40 | 1.6660 |
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| 1.693 | 1.06 | 50 | 1.5479 |
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| 1.1697 | 1.28 | 60 | 1.8677 |
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| 1.7327 | 1.49 | 70 | 1.6845 |
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| 1.5152 | 1.7 | 80 | 1.5870 |
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| 2.0819 | 1.91 | 90 | 1.2138 |
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| 0.9853 | 2.13 | 100 | 1.9800 |
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| 1.0804 | 2.34 | 110 | 1.3695 |
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| 1.8216 | 2.55 | 120 | 1.8492 |
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| 1.0342 | 2.77 | 130 | 1.8183 |
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| 0.9118 | 2.98 | 140 | 1.8248 |
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| 0.7258 | 3.19 | 150 | 1.8724 |
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| 0.7392 | 3.4 | 160 | 1.8986 |
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| 0.9705 | 3.62 | 170 | 2.0972 |
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| 1.81 | 3.83 | 180 | 2.1715 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 65978769
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version https://git-lfs.github.com/spec/v1
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oid sha256:f886532beebff7b5e158b4039fb01e742fc6c8b7c6f3cdd9829b3de7701850e3
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size 65978769
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