End of training
Browse files- README.md +80 -0
- adapter_model.safetensors +1 -1
README.md
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---
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base_model: llava-hf/llava-1.5-7b-hf
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library_name: peft
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license: llama2
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tags:
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- generated_from_trainer
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model-index:
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- name: RSI-LLAVA-64LORA-3EPOCHS
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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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# RSI-LLAVA-64LORA-3EPOCHS
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This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8138
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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: 0.00025
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 5
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.269 | 0.1546 | 25 | 1.1089 |
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| 0.9311 | 0.3091 | 50 | 0.9328 |
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| 0.9195 | 0.4637 | 75 | 0.8907 |
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| 0.8603 | 0.6182 | 100 | 0.8647 |
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| 0.8347 | 0.7728 | 125 | 0.8590 |
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| 0.8272 | 0.9274 | 150 | 0.8398 |
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| 0.8098 | 1.0819 | 175 | 0.8437 |
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| 0.7734 | 1.2365 | 200 | 0.8274 |
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| 0.7265 | 1.3910 | 225 | 0.8215 |
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| 0.7579 | 1.5456 | 250 | 0.8178 |
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| 0.7563 | 1.7002 | 275 | 0.8125 |
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| 0.7343 | 1.8547 | 300 | 0.8032 |
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| 0.725 | 2.0093 | 325 | 0.8070 |
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| 0.653 | 2.1638 | 350 | 0.8126 |
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| 0.6451 | 2.3184 | 375 | 0.8152 |
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| 0.6623 | 2.4730 | 400 | 0.8156 |
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| 0.6592 | 2.6275 | 425 | 0.8157 |
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| 0.6711 | 2.7821 | 450 | 0.8148 |
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| 0.6376 | 2.9366 | 475 | 0.8138 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 677471032
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version https://git-lfs.github.com/spec/v1
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oid sha256:613023887f612b64198f1c13626892277655b6c28c450af729455aa42f4758ef
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size 677471032
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