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README.md

@@ -23,10 +23,10 @@ get_started_code: "\n    ``` python \n    # Use a pipeline as a high-level helpe
   \    tokenizer = AutoTokenizer.from_pretrained(\"MattStammers/test-trainer\")\n\
   \        model = AutoModelForSequenceClassification.from_pretrained(\"MattStammers/test-trainer\"\
   )\n    ```\n                        "
-training_data: 'see Glue dataset: https://huggingface.co/datasets/glue'
-preprocessing: sentence pairs to analyse similarity
-training_regime: user_defined
-speeds_sizes_times: not_relevant
+training_data: 'See Glue Dataset: https://huggingface.co/datasets/glue'
+preprocessing: Sentence Pairs to analyse similarity
+training_regime: User Defined
+speeds_sizes_times: Not Relevant
 testing_data: 'MRCP. Link: https://huggingface.co/datasets/SetFit/mrpc'
 testing_factors: unknown
 testing_metrics: unknown
@@ -37,14 +37,14 @@ model_specs: bert fine-tuned
 compute_infrastructure: requires less than 4GB of GPU to run quickly
 hardware: T600
 hours_used: '0.1'
-cloud_provider: on-prem
-cloud_region: europe
-co2_emitted: very little
-software: python, pytorch with transformers
-citation_bibtex: nil_presently
-citation_apa: not_relevant
-glossary: nil presently
-more_information: can be made available on request
+cloud_provider: N/A
+cloud_region: N/A
+co2_emitted: <1
+software: Python, pytorch with transformers
+citation_bibtex: N/A
+citation_apa: N/A
+glossary: N/A
+more_information: Can be made available on request
 model_card_authors: Matt Stammers
 model_card_contact: Matt Stammers
 model-index:
@@ -149,7 +149,7 @@ Use the code below to get started with the model.
 
 <!-- This should link to a Data 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. -->
 
-see Glue dataset: https://huggingface.co/datasets/glue
+See Glue Dataset: https://huggingface.co/datasets/glue
 
 ### Training Procedure 
 
@@ -157,18 +157,18 @@ see Glue dataset: https://huggingface.co/datasets/glue
 
 #### Preprocessing [optional]
 
-sentence pairs to analyse similarity
+Sentence Pairs to analyse similarity
 
 
 #### Training Hyperparameters
 
-- **Training regime:** user_defined <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+- **Training regime:** User Defined <!--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. -->
 
-not_relevant
+Not Relevant
 
 ## Evaluation
 
@@ -216,9 +216,9 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 - **Hardware Type:** T600
 - **Hours used:** 0.1
-- **Cloud Provider:** on-prem
-- **Compute Region:** europe
-- **Carbon Emitted:** very little
+- **Cloud Provider:** N/A
+- **Compute Region:** N/A
+- **Carbon Emitted:** <1
 
 ## Technical Specifications [optional]
 
@@ -236,7 +236,7 @@ T600
 
 #### Software
 
-python, pytorch with transformers
+Python, pytorch with transformers
 
 ## Citation [optional]
 
@@ -244,21 +244,21 @@ python, pytorch with transformers
 
 **BibTeX:**
 
-nil_presently
+N/A
 
 **APA:**
 
-not_relevant
+N/A
 
 ## Glossary [optional]
 
 <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
 
-nil presently
+N/A
 
 ## More Information [optional]
 
-can be made available on request
+Can be made available on request
 
 ## Model Card Authors [optional]