Added trained v1.6 model

README.md

@@ -0,0 +1,58 @@
+---
+base_model: llava-hf/llava-v1.6-vicuna-7b-hf
+library_name: peft
+license: other
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
+model-index:
+- name: train_2024-07-03-14-56-50
+  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. -->
+
+# train_2024-07-03-14-56-50
+
+This model is a fine-tuned version of [llava-hf/llava-v1.6-vicuna-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-vicuna-7b-hf) on the llava_med_vi_1k 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

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+  "base_model_name_or_path": "llava-hf/llava-v1.6-vicuna-7b-hf",
+  "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": 16,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 2,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "^(?!.*vision_tower).*(?:v_proj|q_proj|up_proj|linear_2|o_proj|down_proj|k_proj|gate_proj|linear_1).*",
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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+}

all_results.json

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+{
+    "epoch": 0.96,
+    "num_input_tokens_seen": 45448,
+    "total_flos": 1891508470824960.0,
+    "train_loss": 1.1797900597254436,
+    "train_runtime": 413.707,
+    "train_samples_per_second": 0.242,
+    "train_steps_per_second": 0.029
+}

checkpoint-12/README.md

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+---
+base_model: llava-hf/llava-v1.6-vicuna-7b-hf
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1

checkpoint-12/adapter_config.json

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+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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checkpoint-12/added_tokens.json

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checkpoint-12/preprocessor_config.json

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checkpoint-12/special_tokens_map.json

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llamaboard_config.yaml

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+top.finetuning_type: lora
+top.model_name: LLaVA1.5-7B-Chat
+top.quantization_bit: none
+top.rope_scaling: none
+top.template: vicuna
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+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_grid_pinpoints": [
+    [
+      336,
+      672
+    ],
+    [
+      672,
+      336
+    ],
+    [
+      672,
+      672
+    ],
+    [
+      1008,
+      336
+    ],
+    [
+      336,
+      1008
+    ]
+  ],
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "LlavaNextImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "processor_class": "LlavaNextProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 336
+  }
+}
+
+
+07/03/2024 15:04:16 - INFO - transformers.tokenization_utils_base - loading file tokenizer.model from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/tokenizer.model
+
+07/03/2024 15:04:16 - INFO - transformers.tokenization_utils_base - loading file tokenizer.json from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/tokenizer.json
+
+07/03/2024 15:04:16 - INFO - transformers.tokenization_utils_base - loading file added_tokens.json from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/added_tokens.json
+
+07/03/2024 15:04:16 - INFO - transformers.tokenization_utils_base - loading file special_tokens_map.json from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/special_tokens_map.json
+
+07/03/2024 15:04:16 - INFO - transformers.tokenization_utils_base - loading file tokenizer_config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/tokenizer_config.json
+
+07/03/2024 15:04:16 - INFO - transformers.processing_utils - Processor LlavaNextProcessor:
+- image_processor: LlavaNextImageProcessor {
+  "aspect_ratio_setting": "anyres",
+  "crop_size": {
+    "height": 336,
+    "width": 336
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_grid_pinpoints": [
+    [
+      336,
+      672
+    ],
+    [
+      672,
+      336
+    ],
+    [
+      672,
+      672
+    ],
+    [
+      1008,
+      336
+    ],
+    [
+      336,
+      1008
+    ]
+  ],
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "LlavaNextImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "processor_class": "LlavaNextProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 336
+  }
+}
+
+- tokenizer: LlamaTokenizerFast(name_or_path='llava-hf/llava-v1.6-vicuna-7b-hf', vocab_size=32000, model_max_length=4096, is_fast=True, padding_side='right', truncation_side='right', special_tokens={'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<unk>'}, clean_up_tokenization_spaces=False),  added_tokens_decoder={
+	0: AddedToken("<unk>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
+	1: AddedToken("<s>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
+	2: AddedToken("</s>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
+	32000: AddedToken("<image>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True),
+}
+
+{
+  "chat_template": null,
+  "processor_class": "LlavaNextProcessor"
+}
+
+
+07/03/2024 15:04:16 - INFO - llamafactory.data.loader - Loading dataset tminh/test-llava4...
+
+07/03/2024 15:04:24 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/config.json
+
+07/03/2024 15:04:24 - INFO - transformers.configuration_utils - Model config LlavaNextConfig {
+  "_name_or_path": "llava-hf/llava-v1.6-vicuna-7b-hf",
+  "architectures": [
+    "LlavaNextForConditionalGeneration"
+  ],
+  "ignore_index": -100,
+  "image_grid_pinpoints": [
+    [
+      336,
+      672
+    ],
+    [
+      672,
+      336
+    ],
+    [
+      672,
+      672
+    ],
+    [
+      1008,
+      336
+    ],
+    [
+      336,
+      1008
+    ]
+  ],
+  "image_token_index": 32000,
+  "model_type": "llava_next",
+  "projector_hidden_act": "gelu",
+  "text_config": {
+    "_name_or_path": "lmsys/vicuna-7b-v1.5",
+    "architectures": [
+      "LlamaForCausalLM"
+    ],
+    "max_position_embeddings": 4096,
+    "model_type": "llama",
+    "pad_token_id": 0,
+    "rms_norm_eps": 1e-05,
+    "torch_dtype": "float16",
+    "vocab_size": 32064
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.42.3",
+  "use_image_newline_parameter": true,
+  "vision_config": {
+    "hidden_size": 1024,
+    "image_size": 336,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768,
+    "vocab_size": 32000
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default",
+  "vocab_size": 32064
+}
+
+
+07/03/2024 15:04:25 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/config.json
+
+07/03/2024 15:04:25 - INFO - transformers.configuration_utils - Model config LlavaNextConfig {
+  "_name_or_path": "llava-hf/llava-v1.6-vicuna-7b-hf",
+  "architectures": [
+    "LlavaNextForConditionalGeneration"
+  ],
+  "ignore_index": -100,
+  "image_grid_pinpoints": [
+    [
+      336,
+      672
+    ],
+    [
+      672,
+      336
+    ],
+    [
+      672,
+      672
+    ],
+    [
+      1008,
+      336
+    ],
+    [
+      336,
+      1008
+    ]
+  ],
+  "image_token_index": 32000,
+  "model_type": "llava_next",
+  "projector_hidden_act": "gelu",
+  "text_config": {
+    "_name_or_path": "lmsys/vicuna-7b-v1.5",
+    "architectures": [
+      "LlamaForCausalLM"
+    ],
+    "max_position_embeddings": 4096,
+    "model_type": "llama",
+    "pad_token_id": 0,
+    "rms_norm_eps": 1e-05,
+    "torch_dtype": "float16",
+    "vocab_size": 32064
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.42.3",
+  "use_image_newline_parameter": true,
+  "vision_config": {
+    "hidden_size": 1024,
+    "image_size": 336,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768,
+    "vocab_size": 32000
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default",
+  "vocab_size": 32064
+}
+
+
+07/03/2024 15:04:25 - WARNING - llamafactory.model.model_utils.unsloth - Unsloth does not support model type llava_next.
+
+07/03/2024 15:04:25 - INFO - transformers.modeling_utils - loading weights file model.safetensors from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/model.safetensors.index.json
+
+07/03/2024 15:05:57 - INFO - transformers.modeling_utils - Instantiating LlavaNextForConditionalGeneration model under default dtype torch.bfloat16.
+
+07/03/2024 15:05:57 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {}
+
+
+07/03/2024 15:05:58 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0
+}
+
+
+07/03/2024 15:08:02 - INFO - transformers.modeling_utils - All model checkpoint weights were used when initializing LlavaNextForConditionalGeneration.
+
+
+07/03/2024 15:08:02 - INFO - transformers.modeling_utils - All the weights of LlavaNextForConditionalGeneration were initialized from the model checkpoint at llava-hf/llava-v1.6-vicuna-7b-hf.
+If your task is similar to the task the model of the checkpoint was trained on, you can already use LlavaNextForConditionalGeneration for predictions without further training.
+
+07/03/2024 15:08:02 - INFO - transformers.generation.configuration_utils - loading configuration file generation_config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/generation_config.json
+
+07/03/2024 15:08:02 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0
+}
+
+
+07/03/2024 15:08:02 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
+
+07/03/2024 15:08:02 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
+
+07/03/2024 15:08:02 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
+
+07/03/2024 15:08:02 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
+
+07/03/2024 15:08:02 - INFO - llamafactory.model.model_utils.misc - Found linear modules: v_proj,q_proj,up_proj,linear_2,o_proj,down_proj,k_proj,gate_proj,linear_1
+
+07/03/2024 15:08:02 - INFO - llamafactory.model.loader - trainable params: 5023744 || all params: 7068454912 || trainable%: 0.0711
+
+07/03/2024 15:08:02 - INFO - transformers.trainer - Using auto half precision backend
+
+07/03/2024 15:08:02 - INFO - transformers.trainer - ***** Running training *****
+
+07/03/2024 15:08:02 - INFO - transformers.trainer -   Num examples = 100
+
+07/03/2024 15:08:02 - INFO - transformers.trainer -   Num Epochs = 1
+
+07/03/2024 15:08:02 - INFO - transformers.trainer -   Instantaneous batch size per device = 1
+
+07/03/2024 15:08:02 - INFO - transformers.trainer -   Total train batch size (w. parallel, distributed & accumulation) = 8
+
+07/03/2024 15:08:02 - INFO - transformers.trainer -   Gradient Accumulation steps = 8
+
+07/03/2024 15:08:02 - INFO - transformers.trainer -   Total optimization steps = 12
+
+07/03/2024 15:08:02 - INFO - transformers.trainer -   Number of trainable parameters = 5,023,744
+
+07/03/2024 15:08:04 - WARNING - transformers.models.llama.modeling_llama - `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.
+
+07/03/2024 15:10:44 - INFO - llamafactory.extras.callbacks - {'loss': 1.1881, 'learning_rate': 3.1470e-05, 'epoch': 0.40, 'throughput': 113.65}
+
+07/03/2024 15:13:42 - INFO - llamafactory.extras.callbacks - {'loss': 1.1695, 'learning_rate': 3.3494e-06, 'epoch': 0.80, 'throughput': 111.00}
+
+07/03/2024 15:14:56 - INFO - transformers.trainer - Saving model checkpoint to saves/LLaVA1.5-7B-Chat/lora/train_2024-07-03-14-56-50/checkpoint-12
+
+07/03/2024 15:14:56 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/config.json
+
+07/03/2024 15:14:56 - INFO - transformers.configuration_utils - Model config LlavaNextConfig {
+  "architectures": [
+    "LlavaNextForConditionalGeneration"
+  ],
+  "ignore_index": -100,
+  "image_grid_pinpoints": [
+    [
+      336,
+      672
+    ],
+    [
+      672,
+      336
+    ],
+    [
+      672,
+      672
+    ],
+    [
+      1008,
+      336
+    ],
+    [
+      336,
+      1008
+    ]
+  ],
+  "image_token_index": 32000,
+  "model_type": "llava_next",
+  "projector_hidden_act": "gelu",
+  "text_config": {
+    "_name_or_path": "lmsys/vicuna-7b-v1.5",
+    "architectures": [
+      "LlamaForCausalLM"
+    ],
+    "max_position_embeddings": 4096,
+    "model_type": "llama",
+    "pad_token_id": 0,
+    "rms_norm_eps": 1e-05,
+    "torch_dtype": "float16",
+    "vocab_size": 32064
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.42.3",
+  "use_image_newline_parameter": true,
+  "vision_config": {
+    "hidden_size": 1024,
+    "image_size": 336,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768,
+    "vocab_size": 32000
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default",
+  "vocab_size": 32064
+}
+
+
+07/03/2024 15:14:56 - INFO - transformers.image_processing_base - Image processor saved in saves/LLaVA1.5-7B-Chat/lora/train_2024-07-03-14-56-50/checkpoint-12/preprocessor_config.json
+
+07/03/2024 15:14:56 - INFO - transformers.trainer - 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+
+07/03/2024 15:14:56 - INFO - transformers.trainer - Saving model checkpoint to saves/LLaVA1.5-7B-Chat/lora/train_2024-07-03-14-56-50
+
+07/03/2024 15:14:56 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--llava-hf--llava-v1.6-vicuna-7b-hf/snapshots/382e15404d46a627a15b299a41618e2efb04f2a7/config.json
+
+07/03/2024 15:14:56 - INFO - transformers.configuration_utils - Model config LlavaNextConfig {
+  "architectures": [
+    "LlavaNextForConditionalGeneration"
+  ],
+  "ignore_index": -100,
+  "image_grid_pinpoints": [
+    [
+      336,
+      672
+    ],
+    [
+      672,
+      336
+    ],
+    [
+      672,
+      672
+    ],
+    [
+      1008,
+      336
+    ],
+    [
+      336,
+      1008
+    ]
+  ],
+  "image_token_index": 32000,
+  "model_type": "llava_next",
+  "projector_hidden_act": "gelu",
+  "text_config": {
+    "_name_or_path": "lmsys/vicuna-7b-v1.5",
+    "architectures": [
+      "LlamaForCausalLM"
+    ],
+    "max_position_embeddings": 4096,
+    "model_type": "llama",
+    "pad_token_id": 0,
+    "rms_norm_eps": 1e-05,
+    "torch_dtype": "float16",
+    "vocab_size": 32064
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.42.3",
+  "use_image_newline_parameter": true,
+  "vision_config": {
+    "hidden_size": 1024,
+    "image_size": 336,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768,
+    "vocab_size": 32000
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default",
+  "vocab_size": 32064
+}
+
+
+07/03/2024 15:14:56 - INFO - transformers.image_processing_base - Image processor saved in saves/LLaVA1.5-7B-Chat/lora/train_2024-07-03-14-56-50/preprocessor_config.json
+
+07/03/2024 15:14:56 - WARNING - llamafactory.extras.ploting - No metric eval_loss to plot.
+
+07/03/2024 15:14:56 - INFO - transformers.modelcard - Dropping the following result as it does not have all the necessary fields:
+{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
+

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,54 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<image>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% set system_message = 'A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user\\'s questions.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'USER: ' + content + ' ASSISTANT:' }}{% elif message['role'] == 'assistant' %}{{ content + '</s>' }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "processor_class": "LlavaNextProcessor",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}