Uploading crypto sustainability news text classifier model

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/roberta-large-mnli](https://huggingface.co/FacebookAI/roberta-large-mnli) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0124
+- Loss: 0.0062
 - Accuracy: 1.0
 
 ## Model description
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 5
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1736        | 1.0   | 8    | 0.9382          | 0.5833   |
-| 0.5799        | 2.0   | 16   | 0.3128          | 0.95     |
-| 0.1978        | 3.0   | 24   | 0.0652          | 0.9833   |
-| 0.0455        | 4.0   | 32   | 0.0186          | 1.0      |
-| 0.0161        | 5.0   | 40   | 0.0124          | 1.0      |
+| 1.1377        | 1.0   | 8    | 0.8662          | 0.6      |
+| 0.5866        | 2.0   | 16   | 0.2361          | 0.9667   |
+| 0.1393        | 3.0   | 24   | 0.0370          | 1.0      |
+| 0.0292        | 4.0   | 32   | 0.0106          | 1.0      |
+| 0.0136        | 5.0   | 40   | 0.0062          | 1.0      |
 
 
 ### Framework versions
 
-- Transformers 4.47.0.dev0
-- Pytorch 2.5.1+cu121
-- Datasets 3.1.0
-- Tokenizers 0.20.3
+- Transformers 4.52.0.dev0
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "FacebookAI/roberta-large-mnli",
   "_num_labels": 3,
   "architectures": [
     "RobertaForSequenceClassification"
@@ -32,7 +31,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.47.0.dev0",
+  "transformers_version": "4.52.0.dev0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

model.safetensors

@@ -1,3 +1,3 @@
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 size 1421499516

training_args.bin

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