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  2. generation_config.json +6 -0
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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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- - **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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- - **Repository:** [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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- ### Results
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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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- ## 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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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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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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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: t5-small
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: ft-t5-small-lg
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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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+ # ft-t5-small-lg
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the Luganda Formal Data dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2411
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+ - Bleu: 1.4907
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+ - Gen Len: 14.5428
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 30
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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+ | 0.3208 | 1.0 | 2051 | 0.2999 | 0.0574 | 8.6396 |
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+ | 0.3054 | 2.0 | 4102 | 0.2890 | 0.1846 | 8.7257 |
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+ | 0.2954 | 3.0 | 6153 | 0.2820 | 0.2253 | 11.5285 |
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+ | 0.2915 | 4.0 | 8204 | 0.2755 | 0.2485 | 11.8231 |
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+ | 0.2841 | 5.0 | 10255 | 0.2706 | 0.1711 | 14.2913 |
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+ | 0.2809 | 6.0 | 12306 | 0.2667 | 0.2453 | 14.0332 |
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+ | 0.2758 | 7.0 | 14357 | 0.2635 | 0.3568 | 15.1871 |
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+ | 0.2721 | 8.0 | 16408 | 0.2609 | 0.4433 | 15.1297 |
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+ | 0.2683 | 9.0 | 18459 | 0.2586 | 0.5148 | 14.9026 |
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+ | 0.2668 | 10.0 | 20510 | 0.2562 | 0.5717 | 14.9704 |
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+ | 0.2658 | 11.0 | 22561 | 0.2546 | 0.6013 | 14.9334 |
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+ | 0.2665 | 12.0 | 24612 | 0.2528 | 0.6211 | 14.7852 |
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+ | 0.2611 | 13.0 | 26663 | 0.2512 | 0.6801 | 14.7521 |
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+ | 0.2617 | 14.0 | 28714 | 0.2499 | 0.7704 | 14.8426 |
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+ | 0.2589 | 15.0 | 30765 | 0.2486 | 0.846 | 14.7227 |
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+ | 0.257 | 16.0 | 32816 | 0.2477 | 0.9404 | 14.6676 |
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+ | 0.2552 | 17.0 | 34867 | 0.2466 | 0.8846 | 14.5691 |
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+ | 0.2577 | 18.0 | 36918 | 0.2458 | 1.0307 | 14.6182 |
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+ | 0.254 | 19.0 | 38969 | 0.2450 | 1.038 | 14.5272 |
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+ | 0.2539 | 20.0 | 41020 | 0.2442 | 1.1301 | 14.5494 |
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+ | 0.2524 | 21.0 | 43071 | 0.2436 | 1.1553 | 14.571 |
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+ | 0.2555 | 22.0 | 45122 | 0.2429 | 1.2626 | 14.6193 |
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+ | 0.2506 | 23.0 | 47173 | 0.2427 | 1.3183 | 14.5 |
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+ | 0.2491 | 24.0 | 49224 | 0.2421 | 1.3981 | 14.5801 |
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+ | 0.2499 | 25.0 | 51275 | 0.2419 | 1.4025 | 14.534 |
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+ | 0.2482 | 26.0 | 53326 | 0.2415 | 1.404 | 14.5639 |
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+ | 0.2479 | 27.0 | 55377 | 0.2414 | 1.4074 | 14.554 |
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+ | 0.247 | 28.0 | 57428 | 0.2412 | 1.4902 | 14.542 |
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+ | 0.2477 | 29.0 | 59479 | 0.2411 | 1.4932 | 14.5653 |
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+ | 0.2477 | 30.0 | 61530 | 0.2411 | 1.4907 | 14.5428 |
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+ ### Framework versions
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0
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+ - Datasets 3.0.0
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+ - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
generation_config.json ADDED
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+ "pad_token_id": 0,
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+ "transformers_version": "4.44.2"
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+ }
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