damgomz
/

ThunBERT_bs8_lr4

@@ -1,199 +1,98 @@
 ---
-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]

 ---
+language: en
+tags:
+- fill-mask
+kwargs:
+  timestamp: '2024-05-11T13:59:43'
+  project_name: ThunBERT_bs8_lr4_emissions_tracker
+  run_id: 3345f532-5960-49ec-a891-053ef2514cfb
+  duration: 170213.14050722122
+  emissions: 0.1781595473385588
+  emissions_rate: 1.0466850374046206e-06
+  cpu_power: 42.5
+  gpu_power: 0.0
+  ram_power: 37.5
+  cpu_energy: 2.0094578674973738
+  gpu_energy: 0
+  ram_energy: 1.7730424475396678
+  energy_consumed: 3.782500315037023
+  country_name: Switzerland
+  country_iso_code: CHE
+  region: .nan
+  cloud_provider: .nan
+  cloud_region: .nan
+  os: Linux-5.14.0-70.30.1.el9_0.x86_64-x86_64-with-glibc2.34
+  python_version: 3.10.4
+  codecarbon_version: 2.3.4
+  cpu_count: 4
+  cpu_model: Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz
+  gpu_count: .nan
+  gpu_model: .nan
+  longitude: .nan
+  latitude: .nan
+  ram_total_size: 100
+  tracking_mode: machine
+  on_cloud: N
+  pue: 1.0
 ---
+## Environmental Impact (CODE CARBON DEFAULT)
+| Metric                   | Value                           |
+|--------------------------|---------------------------------|
+| Duration (in seconds)    | 170213.14050722122  |
+| Emissions (Co2eq in kg)  | 0.1781595473385588 |
+| CPU power (W)            | 42.5  |
+| GPU power (W)            | [No GPU]  |
+| RAM power (W)            | 37.5  |
+| CPU energy (kWh)         | 2.0094578674973738  |
+| GPU energy (kWh)         | [No GPU]  |
+| RAM energy (kWh)         | 1.7730424475396678  |
+| Consumed energy (kWh)    | 3.782500315037023  |
+| Country name             | Switzerland  |
+| Cloud provider           | nan  |
+| Cloud region             | nan  |
+| CPU count                | 4  |
+| CPU model                | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz  |
+| GPU count                | nan  |
+| GPU model                | nan  |
+## Environmental Impact (for one core)
+| Metric                   | Value                           |
+|--------------------------|---------------------------------|
+| CPU energy (kWh)         | 0.32766029547640085  |
+| Emissions (Co2eq in kg)  | 0.06666681336532831 |
+## Note
+15 May 2024
+## My Config
+| Config                   | Value           |
+|--------------------------|-----------------|
+| checkpoint               | albert-base-v2  |
+| model_name               | ThunBERT_bs8_lr4 |
+| sequence_length          | 400  |
+| num_epoch                | 6  |
+| learning_rate            | 0.0005  |
+| batch_size               | 8  |
+| weight_decay             | 0.0  |
+| warm_up_prop             | 0.0  |
+| drop_out_prob            | 0.1 |
+| packing_length           | 100 |
+| train_test_split         | 0.2 |
+| num_steps                | 82827 |
+## Training and Testing steps
+Epoch | Train Loss | Test Loss
+---|---|---
+| 0.0 | 6.835651 | 13.557409 |