Model save
Browse files- README.md +79 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Nov20_16-52-06_fd13c61a4556/events.out.tfevents.1700504426.fd13c61a4556.3859.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +794 -0
README.md
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| 1 |
+
---
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license: mit
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base_model: HuggingFaceH4/zephyr-7b-beta
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tags:
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- generated_from_trainer
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model-index:
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- name: non-qa-sft-zephyr-7b-beta-v1
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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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# non-qa-sft-zephyr-7b-beta-v1
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5768
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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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: 0.05
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 51 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.3178 | 0.03 | 50 | 1.0767 |
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| 0.7765 | 0.07 | 100 | 0.7130 |
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| 0.6491 | 0.1 | 150 | 0.6840 |
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| 0.6441 | 0.14 | 200 | 0.6829 |
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| 0.701 | 0.17 | 250 | 0.6642 |
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| 0.6936 | 0.21 | 300 | 0.6427 |
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| 0.6538 | 0.24 | 350 | 0.6175 |
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| 0.5927 | 0.27 | 400 | 0.6139 |
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| 0.6709 | 0.31 | 450 | 0.6129 |
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| 0.5961 | 0.34 | 500 | 0.6078 |
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| 0.6161 | 0.38 | 550 | 0.5956 |
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| 0.5999 | 0.41 | 600 | 0.5938 |
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| 0.6248 | 0.44 | 650 | 0.5824 |
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| 0.6494 | 0.48 | 700 | 0.5806 |
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| 0.6259 | 0.51 | 750 | 0.5767 |
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| 0.557 | 0.55 | 800 | 0.5762 |
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| 0.6215 | 0.58 | 850 | 0.5777 |
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| 0.5986 | 0.62 | 900 | 0.5770 |
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| 0.6224 | 0.65 | 950 | 0.5767 |
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| 0.6058 | 0.68 | 1000 | 0.5768 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 0.68,
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"eval_loss": 0.5767720937728882,
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"eval_runtime": 137.0943,
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"eval_samples": 650,
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"eval_samples_per_second": 4.741,
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"eval_steps_per_second": 1.189,
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| 8 |
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"train_loss": 0.6960326323509216,
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| 9 |
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"train_runtime": 5130.9272,
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| 10 |
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"train_samples": 5845,
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"train_samples_per_second": 0.78,
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"train_steps_per_second": 0.195
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}
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eval_results.json
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{
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"epoch": 0.68,
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"eval_loss": 0.5767720937728882,
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"eval_runtime": 137.0943,
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"eval_samples": 650,
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"eval_samples_per_second": 4.741,
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"eval_steps_per_second": 1.189
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}
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runs/Nov20_16-52-06_fd13c61a4556/events.out.tfevents.1700504426.fd13c61a4556.3859.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:09ced0301188c2d96f525c113865307bc35c927aa520314b1d1aa5f549a7457f
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size 359
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train_results.json
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{
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"epoch": 0.68,
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"train_loss": 0.6960326323509216,
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"train_runtime": 5130.9272,
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"train_samples": 5845,
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"train_samples_per_second": 0.78,
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"train_steps_per_second": 0.195
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}
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trainer_state.json
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