MubarakB
/

Helsinki_lg_inf_en

@@ -1,199 +1,91 @@
 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-### Direct Use
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-[More Information Needed]
-### Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-[More Information Needed]
-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-[More Information Needed]
-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
-[More Information Needed]
-## Training Details
-### Training Data
-<!-- 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. -->
-[More Information Needed]
-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
-[More Information Needed]
-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
-## Evaluation
-<!-- This section describes the evaluation protocols and provides the results. -->
-### Testing Data, Factors & Metrics
-#### Testing Data
-<!-- This should link to a Dataset Card if possible. -->
-[More Information Needed]
-#### Factors
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-[More Information Needed]
-#### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-[More Information Needed]
-### Results
-[More Information Needed]
-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-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).
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-## Technical Specifications [optional]
-### Model Architecture and Objective
-[More Information Needed]
-### Compute Infrastructure
-[More Information Needed]
-#### Hardware
-[More Information Needed]
-#### Software
-[More Information Needed]
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-**BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Model Card Authors [optional]
-[More Information Needed]
-## Model Card Contact
-[More Information Needed]

 ---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-lg-en
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: Helsinki_lg_inf_en
+  results: []
 ---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hnamuwaya-makerere-university-business-school/Helsinki_lg_inf_en/runs/9s0x0mb9)
+# Helsinki_lg_inf_en
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-lg-en](https://huggingface.co/Helsinki-NLP/opus-mt-lg-en) on the Luganda Informal Data dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1764
+- Bleu: 22.8149
+- Gen Len: 17.7776
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 1.0   | 153  | 0.5662          | 0.6031  | 20.9541 |
+| No log        | 2.0   | 306  | 0.5118          | 0.8533  | 20.1433 |
+| No log        | 3.0   | 459  | 0.4754          | 1.1179  | 19.9124 |
+| 0.6777        | 4.0   | 612  | 0.4452          | 1.4213  | 20.2326 |
+| 0.6777        | 5.0   | 765  | 0.4181          | 1.7245  | 19.2424 |
+| 0.6777        | 6.0   | 918  | 0.3940          | 2.0655  | 19.5872 |
+| 0.463         | 7.0   | 1071 | 0.3722          | 2.6043  | 19.2969 |
+| 0.463         | 8.0   | 1224 | 0.3512          | 3.4014  | 18.864  |
+| 0.463         | 9.0   | 1377 | 0.3323          | 4.0558  | 19.0541 |
+| 0.3973        | 10.0  | 1530 | 0.3150          | 4.9264  | 18.878  |
+| 0.3973        | 11.0  | 1683 | 0.2989          | 6.1751  | 18.1102 |
+| 0.3973        | 12.0  | 1836 | 0.2845          | 6.909   | 18.405  |
+| 0.3973        | 13.0  | 1989 | 0.2708          | 8.2081  | 18.1388 |
+| 0.3476        | 14.0  | 2142 | 0.2589          | 9.0267  | 18.1527 |
+| 0.3476        | 15.0  | 2295 | 0.2477          | 9.8007  | 18.1826 |
+| 0.3476        | 16.0  | 2448 | 0.2374          | 11.2825 | 17.9705 |
+| 0.309         | 17.0  | 2601 | 0.2282          | 12.38   | 17.9427 |
+| 0.309         | 18.0  | 2754 | 0.2200          | 13.1971 | 18.2629 |
+| 0.309         | 19.0  | 2907 | 0.2127          | 14.6993 | 18.0356 |
+| 0.278         | 20.0  | 3060 | 0.2058          | 15.8696 | 17.7944 |
+| 0.278         | 21.0  | 3213 | 0.2001          | 17.2214 | 17.656  |
+| 0.278         | 22.0  | 3366 | 0.1951          | 18.3989 | 17.6769 |
+| 0.2597        | 23.0  | 3519 | 0.1906          | 19.6026 | 17.7543 |
+| 0.2597        | 24.0  | 3672 | 0.1869          | 20.6405 | 17.817  |
+| 0.2597        | 25.0  | 3825 | 0.1835          | 20.7913 | 17.7273 |
+| 0.2597        | 26.0  | 3978 | 0.1809          | 21.5904 | 17.7518 |
+| 0.2452        | 27.0  | 4131 | 0.1789          | 21.9249 | 17.69   |
+| 0.2452        | 28.0  | 4284 | 0.1775          | 22.3964 | 17.6953 |
+| 0.2452        | 29.0  | 4437 | 0.1767          | 22.6803 | 17.7547 |
+| 0.2379        | 30.0  | 4590 | 0.1764          | 22.8149 | 17.7776 |
+### Framework versions
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json ADDED Viewed

	@@ -0,0 +1,16 @@

+{
+  "bad_words_ids": [
+    [
+      60446
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 60446,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 6,
+  "pad_token_id": 60446,
+  "renormalize_logits": true,
+  "transformers_version": "4.42.3"
+}