Training in progress, epoch 1

README.md

@@ -1,25 +1,25 @@
 ---
 library_name: transformers
 license: mit
-base_model: roberta-large
+base_model: roberta-base
 tags:
 - generated_from_trainer
 model-index:
-- name: Artistic_Interests_continuous
+- name: Imagination_continuous
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Artistic_Interests_continuous
+# Imagination_continuous
 
-This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0517
-- Rmse: 0.2274
-- Mae: 0.1843
-- Corr: 0.2604
+- Loss: 0.0494
+- Rmse: 0.2222
+- Mae: 0.1787
+- Corr: 0.2370
 
 ## Model description
 
@@ -44,14 +44,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rmse   | Mae    | Corr   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
-| No log        | 1.0   | 268  | 0.0521          | 0.2282 | 0.1865 | 0.2117 |
-| 0.0766        | 2.0   | 536  | 0.0517          | 0.2274 | 0.1843 | 0.2604 |
+| No log        | 1.0   | 268  | 0.0493          | 0.2220 | 0.1798 | 0.2245 |
+| 0.0573        | 2.0   | 536  | 0.0496          | 0.2226 | 0.1807 | 0.2233 |
+| 0.0573        | 3.0   | 804  | 0.0494          | 0.2222 | 0.1787 | 0.2370 |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "roberta-large",
+  "_name_or_path": "roberta-base",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
@@ -9,20 +9,20 @@
   "eos_token_id": 2,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 1024,
+  "hidden_size": 768,
   "id2label": {
     "0": "LABEL_0"
   },
   "initializer_range": 0.02,
-  "intermediate_size": 4096,
+  "intermediate_size": 3072,
   "label2id": {
     "LABEL_0": 0
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
   "model_type": "roberta",
-  "num_attention_heads": 16,
-  "num_hidden_layers": 24,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "problem_type": "regression",

model.safetensors

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+oid sha256:5cd74102a62a98e4c932866d356ba829b222bff963ed1a07f172a9a7cfaef76f
+size 498609748

training_args.bin

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