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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: alignment-handbook/zephyr-7b-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: spin-v-iter0-v2
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+ results: []
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+ ---
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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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+
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+ # spin-v-iter0-v2
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+
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+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0054
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+ - Rewards/real: -1.6431
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+ - Rewards/generated: -16.4195
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+ - Rewards/accuracies: 1.0
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+ - Rewards/margins: 14.7764
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+ - Logps/generated: -257.4886
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+ - Logps/real: -151.0967
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+ - Logits/generated: -2.5437
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+ - Logits/real: -2.1952
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+
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+ ### Training results
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+
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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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+ | 0.0106 | 0.64 | 100 | 0.0084 | -0.8594 | -11.5552 | 0.9992 | 10.6958 | -208.8447 | -143.2594 | -2.7086 | -2.4488 |
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+ | 0.002 | 1.27 | 200 | 0.0057 | -0.9375 | -14.1180 | 1.0 | 13.1805 | -234.4735 | -144.0411 | -2.6005 | -2.2709 |
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+ | 0.0007 | 1.91 | 300 | 0.0054 | -1.6431 | -16.4195 | 1.0 | 14.7764 | -257.4886 | -151.0967 | -2.5437 | -2.1952 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
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+ "train_samples": 5000,
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+ "train_samples_per_second": 3.775,
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+ "train_steps_per_second": 0.119
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+ }
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+ "transformers_version": "4.37.0"
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