Model save
Browse files- README.md +7 -15
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- num_examples=100/llava-v1.5-13b_1.0/adapter_config.json +3 -3
- num_examples=100/llava-v1.5-13b_1.0/adapter_model.safetensors +1 -1
- num_examples=100/llava-v1.5-13b_1.0/training_args.bin +1 -1
- trainer_state.json +355 -1195
- training_args.bin +1 -1
README.md
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---
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library_name: peft
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tags:
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- liuhaotian/llava-v1.5-13b_10.0
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- generated_from_trainer
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base_model: liuhaotian/llava-v1.5-13b
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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 [liuhaotian/llava-v1.5-
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0004
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- eval_runtime: 27.6221
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- eval_samples_per_second: 15.386
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- eval_steps_per_second: 0.507
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- epoch: 9.0
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- step: 126
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## Model description
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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:
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- total_train_batch_size:
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- total_eval_batch_size:
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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_ratio: 0.03
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- num_epochs:
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### Framework versions
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---
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: liuhaotian/llava-v1.5-13b
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model-index:
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+
- name: llava_13b_exact_location_name_synthetic
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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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# llava_13b_exact_location_name_synthetic
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This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
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## Model description
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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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- total_train_batch_size: 16
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- total_eval_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_ratio: 0.03
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- num_epochs: 20.0
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### Framework versions
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adapter_config.json
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@@ -1,3 +1,3 @@
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