Commit
•
d045310
1
Parent(s):
cbea852
Model save
Browse files- README.md +76 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- train_results.json +9 -0
- trainer_state.json +2509 -0
README.md
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+
---
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license: apache-2.0
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base_model: AmberYifan/mistral-safe-sft-full
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tags:
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- generated_from_trainer
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model-index:
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- name: mistral-sft4epoch-spin-v
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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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# mistral-sft4epoch-spin-v
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This model is a fine-tuned version of [AmberYifan/mistral-safe-sft-full](https://huggingface.co/AmberYifan/mistral-safe-sft-full) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2295
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- Rewards/real: 10.1264
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- Rewards/generated: -5.0006
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- Rewards/accuracies: 0.9922
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- Rewards/margins: 15.1270
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- Logps/generated: -128.7231
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- Logps/real: -111.4173
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- Logits/generated: -2.7320
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- Logits/real: -2.7332
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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: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
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|:-------------:|:------:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
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| 0.2262 | 0.1280 | 200 | 0.2435 | 9.5632 | -4.7644 | 0.9922 | 14.3276 | -126.3612 | -117.0495 | -2.8333 | -2.8265 |
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| 0.2141 | 0.2559 | 400 | 0.2357 | 9.8979 | -4.9468 | 0.9922 | 14.8447 | -128.1855 | -113.7022 | -2.7752 | -2.7613 |
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| 0.2089 | 0.3839 | 600 | 0.2341 | 10.0245 | -4.8956 | 0.9922 | 14.9201 | -127.6730 | -112.4365 | -2.7914 | -2.7984 |
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| 0.2148 | 0.5118 | 800 | 0.2309 | 10.0410 | -5.0904 | 0.9922 | 15.1314 | -129.6210 | -112.2710 | -2.8195 | -2.8238 |
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| 0.1994 | 0.6398 | 1000 | 0.2303 | 10.1131 | -5.1876 | 0.9922 | 15.3008 | -130.5933 | -111.5497 | -2.7442 | -2.7461 |
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| 0.2075 | 0.7678 | 1200 | 0.2304 | 10.1155 | -4.9679 | 0.9922 | 15.0834 | -128.3958 | -111.5260 | -2.7360 | -2.7372 |
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| 0.1961 | 0.8957 | 1400 | 0.2295 | 10.1264 | -5.0006 | 0.9922 | 15.1270 | -128.7231 | -111.4173 | -2.7320 | -2.7332 |
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### Framework versions
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- Transformers 4.43.3
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- Pytorch 2.2.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.2369839982275618,
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"train_runtime": 14627.5004,
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"train_samples": 50000,
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"train_samples_per_second": 3.418,
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"train_steps_per_second": 0.107
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.43.3"
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}
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 0.0,
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"train_loss": 0.2369839982275618,
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"train_runtime": 14627.5004,
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"train_samples": 50000,
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"train_samples_per_second": 3.418,
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"train_steps_per_second": 0.107
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}
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trainer_state.json
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