Model save
Browse files- README.md +67 -0
- adapter_model.safetensors +1 -1
- trainer_state.json +2862 -0
README.md
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| 1 |
+
---
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+
base_model: openbmb/MiniCPM-V-2_6
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library_name: peft
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tags:
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- generated_from_trainer
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model-index:
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- name: MiniCPM-V-2_6_lora_20240915_181155
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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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# MiniCPM-V-2_6_lora_20240915_181155
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This model is a fine-tuned version of [openbmb/MiniCPM-V-2_6](https://huggingface.co/openbmb/MiniCPM-V-2_6) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1966
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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- lr_scheduler_type: cosine_with_restarts
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.1465 | 0.7055 | 100 | 0.1790 |
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| 0.0339 | 1.4109 | 200 | 0.1891 |
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| 0.033 | 2.1164 | 300 | 0.1994 |
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| 0.0333 | 2.8219 | 400 | 0.1966 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.40.0
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- Pytorch 2.1.2+cu121
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 2140796552
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:9d05285133cd122b7e40e0e42d7f2f0f2dd01259f78f72d66e2a47375c8e2cc7
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size 2140796552
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trainer_state.json
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