End of training

README.md

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+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: llava-hf/llava-1.5-7b-hf
+datasets:
+- imagefolder
+model-index:
+- name: llava-hf/llava-1.5-7b-hf
+  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. -->
+
+# llava-hf/llava-1.5-7b-hf
+
+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 the imagefolder dataset.
+
+## 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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+    load_in_8bit: false
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+  value:
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+  - wandb
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+  desc: null
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+  desc: null
+  value: every_save
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+  desc: null
+  value: <HUB_TOKEN>
+hub_private_repo:
+  desc: null
+  value: false
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+  desc: null
+  value: <PUSH_TO_HUB_TOKEN>
+mp_parameters:
+  desc: null
+  value: ''
+auto_find_batch_size:
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+  value: last
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wandb/run-20240516_070049-8ecq2cdf/files/output.log

@@ -0,0 +1,16 @@
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
+  warnings.warn(
+`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
+/opt/conda/lib/python3.10/site-packages/transformers/models/llava/configuration_llava.py:144: FutureWarning: The `vocab_size` attribute is deprecated and will be removed in v4.42, Please use `text_config.vocab_size` instead.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/transformers/models/llava/configuration_llava.py:104: FutureWarning: The `vocab_size` argument is deprecated and will be removed in v4.42, since it can be inferred from the `text_config`. Passing this argument has no effect
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/transformers/models/llava/configuration_llava.py:144: FutureWarning: The `vocab_size` attribute is deprecated and will be removed in v4.42, Please use `text_config.vocab_size` instead.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/transformers/models/llava/configuration_llava.py:104: FutureWarning: The `vocab_size` argument is deprecated and will be removed in v4.42, since it can be inferred from the `text_config`. Passing this argument has no effect
+  warnings.warn(
+Token has not been saved to git credential helper. Pass `add_to_git_credential=True` if you want to set the git credential as well.
+Token is valid (permission: write).
+Your token has been saved to /root/.cache/huggingface/token

wandb/run-20240516_070049-8ecq2cdf/files/requirements.txt

@@ -0,0 +1,865 @@
+Babel==2.14.0
+Boruta==0.3
+Brotli==1.0.9
+CVXcanon==0.1.2
+Cartopy==0.23.0
+Cython==3.0.8
+Deprecated==1.2.14
+Farama-Notifications==0.0.4
+Flask==3.0.3
+Geohash==1.0
+GitPython==3.1.41
+ImageHash==4.3.1
+Janome==0.5.0
+Jinja2==3.1.2
+LunarCalendar==0.0.9
+Mako==1.3.3
+Markdown==3.5.2
+MarkupSafe==2.1.3
+MarkupSafe==2.1.5
+Pillow==9.5.0
+PuLP==2.8.0
+PyArabic==0.6.15
+PyJWT==2.8.0
+PyMeeus==0.5.12
+PySocks==1.7.1
+PyUpSet==0.1.1.post7
+PyWavelets==1.5.0
+PyYAML==6.0.1
+Pygments==2.17.2
+Pympler==1.0.1
+QtPy==2.4.1
+Rtree==1.2.0
+SQLAlchemy==2.0.25
+SecretStorage==3.3.3
+Send2Trash==1.8.2
+Shapely==1.8.5.post1
+Shimmy==1.3.0
+SimpleITK==2.3.1
+TPOT==0.12.1
+Theano-PyMC==1.1.2
+Theano==1.0.5
+Wand==0.6.13
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+access==1.1.9
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+aiohttp==3.9.1
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+aiosignal==1.3.1
+aiosqlite==0.19.0
+albumentations==1.4.0
+alembic==1.13.1
+altair==5.3.0
+annotated-types==0.6.0
+annoy==1.17.3
+anyio==4.2.0
+apache-beam==2.46.0
+aplus==0.11.0
+appdirs==1.4.4
+archspec==0.2.3
+argon2-cffi-bindings==21.2.0
+argon2-cffi==23.1.0
+array-record==0.5.0
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+arviz==0.18.0
+astroid==3.1.0
+astropy-iers-data==0.2024.4.15.2.45.49
+astropy==6.0.1
+asttokens==2.4.1
+astunparse==1.6.3
+async-lru==2.0.4
+async-timeout==4.0.3
+attrs==23.2.0
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+beatrix_jupyterlab==2023.128.151533
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+brotlipy==0.7.0
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+cachetools==5.3.2
+catalogue==2.0.10
+catalyst==22.4
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+category-encoders==2.6.3
+certifi==2024.2.2
+cesium==0.12.1
+cffi==1.16.0
+charset-normalizer==3.3.2
+chex==0.1.86
+cleverhans==4.0.0
+click-plugins==1.1.1
+click==8.1.7
+cligj==0.7.2
+cloud-tpu-client==0.10
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+cloudpathlib==0.16.0
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+cloudpickle==3.0.0
+cmdstanpy==1.2.2
+colorama==0.4.6
+colorcet==3.1.0
+colorful==0.5.6
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+conda==23.7.4
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+confection==0.1.4
+contextily==1.6.0
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+contourpy==1.2.1
+convertdate==2.4.0
+crcmod==1.7
+cryptography==41.0.7
+cuda-python==12.4.0
+cudf==23.8.0
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