Upload model
Browse files- README.md +199 -0
- config.json +184 -0
- generation_config.json +4 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +211 -0
README.md
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---
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library_name: transformers
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tags: []
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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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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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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### 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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### 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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- **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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config.json
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{
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"_frozen": true,
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"_n_gpu": 1,
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"adafactor": false,
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"adam_beta1": 0.9,
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"adam_beta2": 0.999,
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"adam_epsilon": 1e-06,
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"apply_early_stopping_metric": "no",
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"architectures": [
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"CorrectorEncoderModel"
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],
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"auto_find_batch_size": false,
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"average_tokens_across_devices": false,
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"batch_eval_metrics": false,
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"bf16": false,
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"bf16_full_eval": false,
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"cache_dir": null,
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"cheat_on_train_hypotheses": false,
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"config_name": null,
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"config_overrides": null,
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"corrector_ignore_hypothesis_embedding": false,
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"corrector_model_alias": "t5_multihplt_1000",
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"corrector_model_from_pretrained": null,
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"data_seed": null,
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"dataloader_drop_last": false,
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"dataloader_num_workers": 0,
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"dataloader_persistent_workers": false,
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"dataloader_pin_memory": true,
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"dataloader_prefetch_factor": null,
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"dataset_name": "yiyic/multiHPLT_english_1000",
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"ddp_backend": null,
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"ddp_broadcast_buffers": null,
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"ddp_bucket_cap_mb": null,
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"ddp_find_unused_parameters": true,
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"ddp_timeout": 1800,
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"debug": [],
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"decoder_dropout_disabled": false,
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"deepspeed": null,
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"deepspeed_plugin": null,
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"disable_tqdm": true,
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"dispatch_batches": null,
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"do_eval": false,
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"do_predict": false,
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"do_train": false,
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"embedder_fake_with_zeros": false,
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"embedder_gaussian_noise_level": 0.0,
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"embedder_model_api": null,
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"embedder_model_name": "google-t5/t5-base",
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"embedder_no_grad": true,
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"embedder_torch_dtype": "float32",
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"embedding_output": "last_hidden_state",
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"embedding_transform_strategy": "repeat",
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"embedding_zero_except_topk": null,
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"embeddings_from_layer_n": null,
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"encoder_dropout_disabled": false,
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"eval_accumulation_steps": null,
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"eval_delay": 0,
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"eval_do_concat_batches": true,
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"eval_on_start": false,
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"eval_steps": 500,
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"eval_strategy": "steps",
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"eval_use_gather_object": false,
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"evaluation_strategy": null,
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"exp_group_name": "fewshot_corrector",
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"exp_name": "eng",
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"experiment": "corrector",
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"fp16": false,
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"fp16_backend": "auto",
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"fp16_full_eval": false,
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"fp16_opt_level": "O1",
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"freeze_strategy": "none",
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"fsdp": [],
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"fsdp_config": {
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"min_num_params": 0,
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"xla": false,
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"xla_fsdp_grad_ckpt": false,
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"xla_fsdp_v2": false
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},
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"fsdp_min_num_params": 0,
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"fsdp_transformer_layer_cls_to_wrap": null,
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"full_determinism": false,
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"gradient_accumulation_steps": 1,
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"gradient_checkpointing": false,
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"gradient_checkpointing_kwargs": null,
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"greater_is_better": false,
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"group_by_length": true,
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"half_precision_backend": "auto",
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"hub_always_push": false,
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"hub_model_id": null,
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"hub_private_repo": null,
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"hub_strategy": "every_save",
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"hub_token": null,
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"ignore_data_skip": false,
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"include_for_metrics": [
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"inputs"
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],
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"include_inputs_for_metrics": true,
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"include_num_input_tokens_seen": false,
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"include_tokens_per_second": false,
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"jit_mode_eval": false,
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"label_names": null,
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"label_smoothing_factor": 0.0,
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"learning_rate": 2e-05,
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"length_column_name": "length",
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"load_best_model_at_end": true,
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"local_rank": 0,
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"log_level": "passive",
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"log_level_replica": "warning",
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"log_on_each_node": true,
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