Update README.md

README.md

@@ -7,7 +7,11 @@ license: mit
 language:
 - en
 metrics:
-- f1
+- f1-strict
+- f1-proportional
+- f1-strict-weighted
+- f1-proportional-weighted
+
 pipeline_tag: text-generation
 ---
 
@@ -128,58 +132,44 @@ Users (both direct and downstream) should be made aware of the risks, biases and
 
 ## How to Get Started with the Model
 
+Simply follow the **Direct Use** secion or proceed with the following [GoogleColab notebook](https://github.com/nicolay-r/THOR-ECAC/blob/master/SemEval_2024_Task_3_FlanT5_Finetuned_Model_Usage.ipynb).
 
 ## 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. -->
+We purely rely on the data provided by ECAC-2024 competition organizers.
 
-[More Information Needed]
+Here is the [related information](https://github.com/nicolay-r/THOR-ECAC?tab=readme-ov-file#datasets) from the github repository.
 
-### Training Procedure 
+And here is the [code related to data convesations preparation](https://github.com/nicolay-r/SemEval2024-Task3) intented for compiling input data.
 
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+### Training Procedure 
 
-#### Preprocessing [optional]
-
-[More Information Needed]
+Model has been fine-tuned in two stages:
+1. THoR-state: The first stage aimed at Emotion states prediction
+2. THoR-cause-RR: The second aimed at emotion-causes prediction with **reasoning-revision** technique.
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e62d11d27a8292c3637f86/RCKexEPPE_RfstMsL-PbY.png)
 
 #### 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
+- **Training regime:** temperature 1.0, learning-rate 2*10^(-4), AdamW optimizer, batch-size 32, NVidia-A100 (40GB)
 
-<!-- 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. -->
+- f1-strict
+- f1-proportional
+- f1-strict-weighted
+- f1-proportional-weighted
 
 [More Information Needed]
 
 ### Results
 
+Results are depicted in image below in a **gray-highlighted row**.
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e62d11d27a8292c3637f86/yfbkw2iMgY5fp54Zohe32.png)