LawItApps/roberta_echr_truncated_facts_all_labels

README.md

@@ -3,25 +3,17 @@ license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
-metrics:
-- f1
-- accuracy
 model-index:
-- name: roberta-truncated-echr_facts_all_labels
+- name: roberta_echr_truncated_facts_all_labels
   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. -->
 
-# roberta-truncated-echr_facts_all_labels
+# roberta_echr_truncated_facts_all_labels
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0784
-- F1: 0.7108
-- Roc Auc: 0.8186
-- Accuracy: 0.4818
 
 ## Model description
 
@@ -41,24 +33,13 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
-| 0.0924        | 1.0   | 1765 | 0.0886          | 0.6469 | 0.7600  | 0.3996   |
-| 0.0763        | 2.0   | 3530 | 0.0804          | 0.6878 | 0.7951  | 0.4289   |
-| 0.0678        | 3.0   | 5295 | 0.0780          | 0.7062 | 0.8103  | 0.4653   |
-| 0.0569        | 4.0   | 7060 | 0.0769          | 0.7091 | 0.8143  | 0.4818   |
-| 0.0518        | 5.0   | 8825 | 0.0784          | 0.7108 | 0.8186  | 0.4818   |
-
-
 ### Framework versions
 
 - Transformers 4.35.2

config.json

@@ -38,9 +38,7 @@
     "24": "LABEL_24",
     "25": "LABEL_25",
     "26": "LABEL_26",
-    "27": "LABEL_27",
-    "28": "LABEL_28",
-    "29": "LABEL_29"
+    "27": "LABEL_27"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -66,8 +64,6 @@
     "LABEL_25": 25,
     "LABEL_26": 26,
     "LABEL_27": 27,
-    "LABEL_28": 28,
-    "LABEL_29": 29,
     "LABEL_3": 3,
     "LABEL_4": 4,
     "LABEL_5": 5,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ef9a3996aa5a88cdca6c16964294cd5a499e11e314962060eec2ed5a468f9f6
-size 498698952
+oid sha256:aa395952bb223062e44ed60140de13740adb62f98ca67d1d76806ddd7130fe4d
+size 498692800

runs/Aug29_10-13-16_n8ix64biat/events.out.tfevents.1724926397.n8ix64biat.125.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff61c76cbc50d60f3f73940e6ba259257fc1f1b1b6ec153387a72386b355bda6
+size 5913

runs/Aug31_21-02-06_n2js55wtpp/events.out.tfevents.1725138134.n2js55wtpp.292.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9f11f2cf84d3ce9e86b8ce992992a8779192583e5adcff1ebd72d968dedca92
+size 13487

runs/Sep01_09-31-58_nnh10dp4rb/events.out.tfevents.1725183123.nnh10dp4rb.76.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08e18f04c908eb13b81e850df20751f09c72acf0366e0035f4d32070c7f86c82
+size 19385

runs/Sep01_09-31-58_nnh10dp4rb/events.out.tfevents.1725188101.nnh10dp4rb.76.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:650dcbd6a830f184b4bbb8b59f615d352afbb55c9cacbde550a9a61eac32e551
+size 516

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ee14860b022b6192e9cff041304328a32f824ce650b2d06cc27e6e1a984c471
-size 4600
+oid sha256:2f72e5bd54e77557f68a2005ed8d6c46a6a1ca478fcd1a9d2b0e6b1de00f6cb4
+size 4664