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checkpoint-300/README.md +0 -202
checkpoint-300/adapter_config.json +0 -42
checkpoint-300/adapter_model.safetensors +0 -3
checkpoint-300/optimizer.pt +0 -3
checkpoint-300/rng_state.pth +0 -3
checkpoint-300/scheduler.pt +0 -3
checkpoint-300/trainer_state.json +0 -49
checkpoint-300/training_args.bin +0 -3

checkpoint-300/README.md DELETED Viewed

@@ -1,202 +0,0 @@
----
-base_model: sovitrath/Phi-3.5-vision-instruct
-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]
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-### Out-of-Scope Use
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-## Bias, Risks, and Limitations
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-[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]
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-- **Carbon Emitted:** [More Information Needed]
-## Technical Specifications [optional]
-### Model Architecture and Objective
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-### Compute Infrastructure
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-#### Hardware
-[More Information Needed]
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-[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. -->
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-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-## Model Card Authors [optional]
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-## Model Card Contact
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-### Framework versions
-- PEFT 0.15.2

checkpoint-300/adapter_config.json DELETED Viewed

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-{
-  "alpha_pattern": {},
-  "auto_mapping": {
-    "base_model_class": "Phi3VForCausalLM",
-    "parent_library": "transformers_modules.sovitrath.Phi-3.5-vision-instruct.c9d9284022ce4c7a00ace7fc7e9ea64445720d5d.modeling_phi3_v"
-  },
-  "base_model_name_or_path": "sovitrath/Phi-3.5-vision-instruct",
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-  "megatron_config": null,
-  "megatron_core": "megatron.core",
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "r": 8,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
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-  "task_type": null,
-  "trainable_token_indices": null,
-  "use_dora": true,
-  "use_rslora": false
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checkpoint-300/trainer_state.json DELETED Viewed

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-{
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-  "best_metric": 0.3792933523654938,
-  "best_model_checkpoint": "trained_models/adapters/phi_3_5_vision_qwen2_5_vl_3b_gt/checkpoint-300",
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-  "eval_steps": 300,
-  "global_step": 300,
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-      "eval_runtime": 211.5017,
-      "eval_samples_per_second": 1.641,
-      "eval_steps_per_second": 1.641,
-      "step": 300
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-  "logging_steps": 300,
-  "max_steps": 1200,
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-  "num_train_epochs": 8,
-  "save_steps": 300,
-  "stateful_callbacks": {
-    "TrainerControl": {
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-        "should_epoch_stop": false,
-        "should_evaluate": false,
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