Text Generation
Transformers
Safetensors
mistral
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
plaguss HF staff commited on
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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: plaguss/zephyr-7b-spin-iter1-v0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: zephyr-7b-spin-iter2-v0
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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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+ # zephyr-7b-spin-iter2-v0
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+
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+ This model is a fine-tuned version of [plaguss/zephyr-7b-spin-iter1-v0](https://huggingface.co/plaguss/zephyr-7b-spin-iter1-v0) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1253
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+ - Rewards/real: -0.5683
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+ - Rewards/generated: -4.9538
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+ - Rewards/accuracies: 0.9479
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+ - Rewards/margins: 4.3854
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+ - Logps/generated: -739.3701
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+ - Logps/real: -278.2851
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+ - Logits/generated: -2.8430
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+ - Logits/real: -2.8375
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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: 1e-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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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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: 2.0
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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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+ | 5.8769 | 0.49 | 25 | 0.1890 | -0.1680 | -2.9833 | 0.9375 | 2.8153 | -719.6649 | -274.2817 | -2.7940 | -2.8382 |
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+ | 0.1202 | 0.97 | 50 | 0.1440 | -0.4164 | -4.2256 | 0.9479 | 3.8092 | -732.0879 | -276.7652 | -2.8395 | -2.8439 |
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+ | 0.0754 | 1.46 | 75 | 0.1298 | -0.5468 | -4.7565 | 0.9583 | 4.2097 | -737.3973 | -278.0700 | -2.8411 | -2.8388 |
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+ | 0.0621 | 1.94 | 100 | 0.1253 | -0.5683 | -4.9538 | 0.9479 | 4.3854 | -739.3701 | -278.2851 | -2.8430 | -2.8375 |
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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": 3296,
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+ "train_samples_per_second": 2.86,
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+ "train_steps_per_second": 0.044
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+ }
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+ "transformers_version": "4.37.0"
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