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Model: ZeroZeroSeven/onereason-0.8b-kuaishou-full-sft
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: sft
+  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. -->
+
+# sft
+
+This model is a fine-tuned version of the local competition base model on the kuaishou_seed_train dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7658
+
+## 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-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 0.03
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1814        | 0.5185 | 500  | 1.2199          |
+| 0.9387        | 1.0363 | 1000 | 1.0034          |
+| 0.7721        | 1.5548 | 1500 | 0.8802          |
+| 0.5989        | 2.0726 | 2000 | 0.8023          |
+| 0.5697        | 2.5911 | 2500 | 0.7709          |
+| 0.6001        | 3.0    | 2895 | 0.7658          |
+
+
+### Framework versions
+
+- Transformers 5.6.0
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.22.2