Model save
Browse files- README.md +17 -21
- all_results.json +4 -4
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +143 -143
README.md
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---
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license: apache-2.0
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base_model: plaguss/zephyr-7b-spin-
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- argilla/10k_prompts_SPIN_iter1_zephyr_top
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- argilla/10k_prompts_SPIN_iter2_zephyr_top
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [plaguss/zephyr-7b-spin-
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/real: -
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- Rewards/generated: -
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- Rewards/accuracies: 0.
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- Rewards/margins:
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- Logps/generated: -
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- Logps/real: -278.
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- Logits/generated: -2.
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- Logits/real: -2.
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## Model description
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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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### Framework versions
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---
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license: apache-2.0
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base_model: plaguss/zephyr-7b-spin-iter2-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-iter3-v0
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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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# zephyr-7b-spin-iter3-v0
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This model is a fine-tuned version of [plaguss/zephyr-7b-spin-iter2-v0](https://huggingface.co/plaguss/zephyr-7b-spin-iter2-v0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1099
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- Rewards/real: -2.9181
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- Rewards/generated: -29.6970
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- Rewards/accuracies: 0.9271
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- Rewards/margins: 26.7789
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- Logps/generated: -702.4378
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- Logps/real: -278.1470
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- Logits/generated: -2.8177
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- Logits/real: -2.8051
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## Model description
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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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| 0.2928 | 0.49 | 25 | 0.3951 | -2.6212 | -20.3268 | 0.9062 | 17.7056 | -700.5638 | -278.0876 | -2.8098 | -2.8090 |
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| 0.1487 | 0.97 | 50 | 0.1319 | -2.9077 | -29.1459 | 0.9375 | 26.2382 | -702.3276 | -278.1449 | -2.8218 | -2.8066 |
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| 0.006 | 1.46 | 75 | 0.1269 | -2.6037 | -29.1519 | 0.9583 | 26.5482 | -702.3289 | -278.0841 | -2.8175 | -2.8037 |
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| 0.0086 | 1.94 | 100 | 0.1099 | -2.9181 | -29.6970 | 0.9271 | 26.7789 | -702.4378 | -278.1470 | -2.8177 | -2.8051 |
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### Framework versions
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all_results.json
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