dhanesh123in
commited on
Commit
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Model save
Browse files- README.md +33 -180
- all_results.json +18 -0
- config.json +2 -2
- eval_results.json +13 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
- tokenizer.json +1 -6
- tokenizer_config.json +0 -4
- train_results.json +8 -0
- trainer_state.json +1535 -0
- training_args.bin +3 -0
README.md
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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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<!-- 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 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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[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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### 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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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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### Compute Infrastructure
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#### Hardware
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#### Software
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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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**APA:**
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## Glossary [optional]
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## More Information [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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license: apache-2.0
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base_model: google-t5/t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: tst-summarization
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# tst-summarization
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 0.0
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### Training results
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 3.0,
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"eval_gen_len": 73.2282315978456,
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"eval_loss": 1.641965389251709,
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"eval_rouge1": 41.522,
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"eval_rouge2": 19.1468,
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"eval_rougeL": 29.378,
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"eval_rougeLsum": 38.7211,
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"eval_runtime": 1042.218,
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"eval_samples": 13368,
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"eval_samples_per_second": 12.826,
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"eval_steps_per_second": 1.603,
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"train_loss": 1.8120383115867458,
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"train_runtime": 16851.3759,
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"train_samples": 287113,
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"train_samples_per_second": 51.114,
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"train_steps_per_second": 6.389
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}
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config.json
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{
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"_name_or_path": "/
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"architectures": [
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"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2048,
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{
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"_name_or_path": "google-t5/t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2048,
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eval_results.json
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{
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"epoch": 3.0,
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"eval_gen_len": 73.2282315978456,
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"eval_loss": 1.641965389251709,
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"eval_rouge1": 41.522,
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"eval_rouge2": 19.1468,
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"eval_rougeL": 29.378,
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"eval_rougeLsum": 38.7211,
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"eval_runtime": 1042.218,
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"eval_samples": 13368,
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"eval_samples_per_second": 12.826,
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"eval_steps_per_second": 1.603
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}
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.38.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 242041896
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version https://git-lfs.github.com/spec/v1
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oid sha256:b98a199b642a79ace9c1771f134484f74f81d548d02f86928a9c114b4f25e306
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size 242041896
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"direction": "Right",
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"max_length": 128,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": null,
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"added_tokens": [
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [
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tokenizer_config.json
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 100,
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"max_length": 128,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"stride": 0,
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"tokenizer_class": "T5Tokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>"
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}
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 100,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 1.8120383115867458,
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"train_runtime": 16851.3759,
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"train_samples": 287113,
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"train_samples_per_second": 51.114,
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"train_steps_per_second": 6.389
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}
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trainer_state.json
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