first commit

README.md

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----
-license: apache-2.0
----
+---
+base_model: /mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- /mnt/cache/luzimu/rlhf_math/data/controled_steps_math_gsm8k_lce_dpo_ascend_lim2_lim3_add_dpo1x1
+model-index:
+- name: Mistral-7B-v0.1-lce_controled_steps_dpo_ascend_lim2_lim3_add_dpo1x1
+ results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Mistral-7B-v0.1-lce_controled_steps_dpo_ascend_lim2_lim3_add_dpo1x1
+
+This model is a fine-tuned version of [/mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce](https://huggingface.co//mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce) on the /mnt/cache/luzimu/rlhf_math/data/controled_steps_math_gsm8k_lce_dpo_ascend_lim2_lim3_add_dpo1x1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1793
+- Rewards/chosen: 0.2587
+- Rewards/rejected: -7.0301
+- Rewards/accuracies: 0.8947
+- Rewards/margins: 7.2889
+- Logps/rejected: -253.7773
+- Logps/chosen: -80.3105
+- Logits/rejected: -2.3417
+- Logits/chosen: -2.3846
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-07
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.3963 | 0.21 | 100 | 0.3636 | 1.8634 | -0.1518 | 0.8816 | 2.0152 | -184.9944 | -64.2644 | -2.7112 | -2.7505 |
+| 0.2849 | 0.43 | 200 | 0.2598 | 0.7706 | -3.7221 | 0.8816 | 4.4927 | -220.6974 | -75.1921 | -2.5067 | -2.5475 |
+| 0.2496 | 0.64 | 300 | 0.2295 | 0.9323 | -4.2717 | 0.8684 | 5.2040 | -226.1934 | -73.5753 | -2.5080 | -2.5494 |
+| 0.2331 | 0.86 | 400 | 0.2089 | 0.7871 | -4.8912 | 0.8684 | 5.6783 | -232.3884 | -75.0269 | -2.4967 | -2.5382 |
+| 0.0874 | 1.07 | 500 | 0.1872 | 0.6345 | -5.7444 | 0.8816 | 6.3789 | -240.9202 | -76.5527 | -2.4323 | -2.4761 |
+| 0.1217 | 1.28 | 600 | 0.1832 | 0.2282 | -6.6907 | 0.8684 | 6.9188 | -250.3827 | -80.6161 | -2.3741 | -2.4172 |
+| 0.0966 | 1.5 | 700 | 0.1807 | 0.1849 | -7.0125 | 0.8816 | 7.1975 | -253.6012 | -81.0485 | -2.3503 | -2.3940 |
+| 0.0755 | 1.71 | 800 | 0.1802 | 0.3224 | -6.9539 | 0.8947 | 7.2763 | -253.0150 | -79.6739 | -2.3437 | -2.3867 |
+| 0.1177 | 1.93 | 900 | 0.1793 | 0.2587 | -7.0301 | 0.8947 | 7.2889 | -253.7773 | -80.3105 | -2.3417 | -2.3846 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.14.6
+- Tokenizers 0.15.2

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all_results.json

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+ "train_loss": 0.21607095603003493,
+ "train_runtime": 14362.1771,
+ "train_samples": 29893,
+ "train_samples_per_second": 4.163,
+ "train_steps_per_second": 0.065
+}

config.json

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+ "_name_or_path": "/mnt/cache/luzimu/rlhf_math/alignment-handbook/outs/Mistral-7B-v0.1-lce",
+ "architectures": [
+ "MistralForCausalLM"
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+ "vocab_size": 32128
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+ "eval_runtime": 27.9087,
+ "eval_samples": 301,
+ "eval_samples_per_second": 10.785,
+ "eval_steps_per_second": 0.681
+}

generation_config.json

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+ "transformers_version": "4.38.2"
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