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Training in progress, epoch 3

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  1. adapter_config.json +6 -6
  2. adapter_model.safetensors +1 -1
  3. merged/added_tokens.json +16 -0
  4. merged/chat_template.json +3 -0
  5. merged/config.json +47 -0
  6. merged/generation_config.json +13 -0
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  26. merged/model.safetensors.index.json +737 -0
  27. merged/preprocessor_config.json +29 -0
  28. merged/special_tokens_map.json +31 -0
  29. merged/tokenizer.json +3 -0
  30. merged/tokenizer_config.json +144 -0
  31. merged/vocab.json +0 -0
  32. spaceqwen2-7b-instruct/checkpoint-1446/README.md +202 -0
  33. spaceqwen2-7b-instruct/checkpoint-1446/adapter_config.json +36 -0
  34. spaceqwen2-7b-instruct/checkpoint-1446/adapter_model.safetensors +3 -0
  35. spaceqwen2-7b-instruct/checkpoint-1446/added_tokens.json +16 -0
  36. spaceqwen2-7b-instruct/checkpoint-1446/merges.txt +0 -0
  37. spaceqwen2-7b-instruct/checkpoint-1446/optimizer.pt +3 -0
  38. spaceqwen2-7b-instruct/checkpoint-1446/rng_state.pth +3 -0
  39. spaceqwen2-7b-instruct/checkpoint-1446/scheduler.pt +3 -0
  40. spaceqwen2-7b-instruct/checkpoint-1446/special_tokens_map.json +31 -0
  41. spaceqwen2-7b-instruct/checkpoint-1446/tokenizer.json +3 -0
  42. spaceqwen2-7b-instruct/checkpoint-1446/tokenizer_config.json +143 -0
  43. spaceqwen2-7b-instruct/checkpoint-1446/trainer_state.json +2056 -0
  44. spaceqwen2-7b-instruct/checkpoint-1446/training_args.bin +3 -0
  45. spaceqwen2-7b-instruct/checkpoint-1446/vocab.json +0 -0
  46. spaceqwen2-7b-instruct/checkpoint-2169/README.md +202 -0
  47. spaceqwen2-7b-instruct/checkpoint-2169/adapter_config.json +36 -0
  48. spaceqwen2-7b-instruct/checkpoint-2169/adapter_model.safetensors +3 -0
  49. spaceqwen2-7b-instruct/checkpoint-2169/added_tokens.json +16 -0
  50. spaceqwen2-7b-instruct/checkpoint-2169/merges.txt +0 -0
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1
+ ---
2
+ base_model: Qwen/Qwen2-VL-7B-Instruct
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ ### Direct Use
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+ [More Information Needed]
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+ ### Out-of-Scope Use
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+ ### Training Data
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ ## Evaluation
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ [More Information Needed]
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+ ### Results
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+
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+ [More Information Needed]
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ 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).
146
+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
154
+
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+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
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+ ### Compute Infrastructure
160
+
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+ [More Information Needed]
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+
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+ #### Hardware
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+ [More Information Needed]
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+
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+ #### Software
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+ [More Information Needed]
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+ ## Citation [optional]
172
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+ <!-- 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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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ [More Information Needed]
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+
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+ ## More Information [optional]
190
+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
194
+
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+ [More Information Needed]
196
+
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+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
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+ ---
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+ base_model: Qwen/Qwen2-VL-7B-Instruct
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+ library_name: peft
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+ ---
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+
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+ # Model Card for Model ID
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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+ ## Uses
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ ## Training Details
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+ 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).
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+ ## Model Card Contact
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+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
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