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README.md +20 -199
eval.json +1 -0

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----
-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]
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-- **Model type:** [More Information Needed]
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-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
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-## Uses
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-### Direct Use
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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.
-## How to Get Started with the Model
-Use the code below to get started with the model.
-[More Information Needed]
-## Training Details
-### Training Data
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-#### Training Hyperparameters
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-## Evaluation
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-### Testing Data, Factors & Metrics
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-#### Factors
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-#### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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-### Results
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-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
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-## 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).
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-## Technical Specifications [optional]
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+ # `vocabtrimmer/roberta-base.xnli-en.7`
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the
+[xnli](https://huggingface.co/datasets/xnli) (en).
+Following metrics are computed on the `test` split of
+[xnli](https://huggingface.co/datasets/xnli)(en).
+* Evaluation on test split
+|    |   eval_f1_micro |   eval_recall_micro |   eval_precision_micro |   eval_f1_macro |   eval_recall_macro |   eval_precision_macro |   eval_accuracy |
+|---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
+|  0 |           33.33 |               33.33 |                  33.33 |           16.67 |               33.33 |                  11.11 |           33.33 |
+* Evaluation on validation split
+|    |   eval_f1_micro |   eval_recall_micro |   eval_precision_micro |   eval_f1_macro |   eval_recall_macro |   eval_precision_macro |   eval_accuracy |
+|---:|----------------:|--------------------:|-----------------------:|----------------:|--------------------:|-----------------------:|----------------:|
+|  0 |           33.33 |               33.33 |                  33.33 |           16.67 |               33.33 |                  11.11 |           33.33 |
+Check the result file [here](https://huggingface.co/vocabtrimmer/roberta-base.xnli-en.7/raw/main/eval.json).

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+ {"test": {"eval_loss": 1.0940057039260864, "eval_f1_micro": 0.3333333333333333, "eval_recall_micro": 0.3333333333333333, "eval_precision_micro": 0.3333333333333333, "eval_f1_macro": 0.16666666666666666, "eval_recall_macro": 0.3333333333333333, "eval_precision_macro": 0.1111111111111111, "eval_accuracy": 0.3333333333333333, "eval_runtime": 98.4029, "eval_samples_per_second": 50.913, "eval_steps_per_second": 3.191}, "validation": {"eval_loss": 1.0942331552505493, "eval_f1_micro": 0.3333333333333333, "eval_recall_micro": 0.3333333333333333, "eval_precision_micro": 0.3333333333333333, "eval_f1_macro": 0.16666666666666666, "eval_recall_macro": 0.3333333333333333, "eval_precision_macro": 0.1111111111111111, "eval_accuracy": 0.3333333333333333, "eval_runtime": 49.8314, "eval_samples_per_second": 49.969, "eval_steps_per_second": 3.131}}