Add final balanced 0.1 epoch checkpoint with resume state
Browse files- .gitattributes +1 -0
- README.md +206 -0
- adapter_config.json +53 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- scheduler.pt +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +27 -0
- trainer_state.json +744 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: google/t5gemma-2-4b-4b
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library_name: peft
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tags:
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- base_model:adapter:google/t5gemma-2-4b-4b
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- lora
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- transformers
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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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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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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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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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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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[More Information Needed]
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| 55 |
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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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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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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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[More Information Needed]
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## Training Details
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| 81 |
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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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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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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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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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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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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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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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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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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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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| 154 |
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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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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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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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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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.20.0
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adapter_config.json
ADDED
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "google/t5gemma-2-4b-4b",
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"bias": "none",
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"corda_config": null,
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| 9 |
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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| 19 |
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"lora_alpha": 64,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"lora_ga_config": null,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"monteclora_config": null,
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| 27 |
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"peft_type": "LORA",
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| 28 |
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"peft_version": "0.20.0",
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"v_proj",
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| 36 |
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"q_proj",
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"o_proj",
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"down_proj",
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"gate_proj",
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"fc1",
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"fc2",
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"self_attn.out_proj",
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"up_proj"
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],
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"target_parameters": null,
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| 46 |
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"task_type": "SEQ_2_SEQ_LM",
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| 47 |
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"trainable_token_indices": null,
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| 48 |
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"use_bdlora": null,
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| 49 |
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"use_dora": false,
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"use_qalora": false,
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| 51 |
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"use_rslora": false,
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| 52 |
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"velora_config": null
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac53bdc65d392bbcb46a2de3678eadc04fd98246538c9de63d6eaa3aa927e17b
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size 546596416
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:474e131855868c59cf9db6a6a8366da3482729dc99a6bf172ee0d3e4f9cf7b4c
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size 954500299
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rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:04057f6594d8eee7900f9e376353e3b13e2398d1b22f940d5d512e58979232db
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size 15429
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rng_state_1.pth
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76de3d100535a7b9e296d3b41c84e956c087211b0282d3dc0588544246db65bb
|
| 3 |
+
size 15429
|
rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf72aa9be6982d680d7215394fe5a81b7fa316e5f76b855e63d86c9eb52bfb6d
|
| 3 |
+
size 15429
|
rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c7c80d0296f2414f6806f640444ee16c87ad585edb508b315765c9fec043ce60
|
| 3 |
+
size 15429
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f9d740f6ed12e07aff83ead7b812970b205c9bd60bd7af93eb3503747e6ceba
|
| 3 |
+
size 1465
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f22dee48d75e17109810fa1ecbf2321c4c1c16caf9177fb269222a6a4e056379
|
| 3 |
+
size 33384485
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"boi_token": "<start_of_image>",
|
| 4 |
+
"bos_token": "<bos>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eoi_token": "<end_of_image>",
|
| 7 |
+
"eos_token": "<eos>",
|
| 8 |
+
"extra_special_tokens": [],
|
| 9 |
+
"image_token": "<image_soft_token>",
|
| 10 |
+
"is_local": false,
|
| 11 |
+
"local_files_only": false,
|
| 12 |
+
"mask_token": "<mask>",
|
| 13 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"boi_token": "<start_of_image>",
|
| 16 |
+
"eoi_token": "<end_of_image>",
|
| 17 |
+
"image_token": "<image_soft_token>"
|
| 18 |
+
},
|
| 19 |
+
"pad_token": "<pad>",
|
| 20 |
+
"padding_side": "right",
|
| 21 |
+
"processor_class": "Gemma3Processor",
|
| 22 |
+
"sp_model_kwargs": null,
|
| 23 |
+
"spaces_between_special_tokens": false,
|
| 24 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 25 |
+
"unk_token": "<unk>",
|
| 26 |
+
"use_default_system_prompt": false
|
| 27 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,744 @@
|
|
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"epoch": 0.10003237293622531,
|
| 716 |
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| 717 |
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"eval_runtime": 417.5077,
|
| 718 |
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|
| 719 |
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|
| 720 |
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"step": 2472
|
| 721 |
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}
|
| 722 |
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],
|
| 723 |
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"logging_steps": 25,
|
| 724 |
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"max_steps": 2472,
|
| 725 |
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"num_input_tokens_seen": 0,
|
| 726 |
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"num_train_epochs": 1,
|
| 727 |
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"save_steps": 1000,
|
| 728 |
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"stateful_callbacks": {
|
| 729 |
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"TrainerControl": {
|
| 730 |
+
"args": {
|
| 731 |
+
"should_epoch_stop": false,
|
| 732 |
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"should_evaluate": false,
|
| 733 |
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"should_log": false,
|
| 734 |
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"should_save": true,
|
| 735 |
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"should_training_stop": true
|
| 736 |
+
},
|
| 737 |
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"attributes": {}
|
| 738 |
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}
|
| 739 |
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},
|
| 740 |
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"total_flos": 6.891199665862083e+17,
|
| 741 |
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"train_batch_size": 8,
|
| 742 |
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"trial_name": null,
|
| 743 |
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"trial_params": null
|
| 744 |
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}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5ec6d52b83b8e0d6240836e5a7c12b9ba34ff19a144db80d31bf512ff145358c
|
| 3 |
+
size 5265
|