trainer: training complete at 2024-10-29 15:25:45.285527.

README.md

@@ -63,7 +63,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use 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
 
@@ -80,7 +80,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.45.2
+- Transformers 4.46.0
 - Pytorch 2.5.0+cu124
-- Datasets 2.19.1
+- Datasets 3.0.2
 - Tokenizers 0.20.1

meta_data/README_s42_e5.md

@@ -63,7 +63,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use 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
 
@@ -80,7 +80,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.45.2
+- Transformers 4.46.0
 - Pytorch 2.5.0+cu124
-- Datasets 2.19.1
+- Datasets 3.0.2
 - Tokenizers 0.20.1

meta_data/meta_s42_e5_cvi0.json

@@ -1 +1 @@
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+{"Claim": {"precision": 0.6492678318375059, "recall": 0.5891555936562366, "f1-score": 0.6177528089887641, "support": 4666.0}, "MajorClaim": {"precision": 0.8648648648648649, "recall": 0.8003280032800328, "f1-score": 0.8313458262350937, "support": 2439.0}, "O": {"precision": 1.0, "recall": 0.9992669218864544, "f1-score": 0.9996333265430841, "support": 12277.0}, "Premise": {"precision": 0.8896274845333685, "recall": 0.9276645391531123, "f1-score": 0.9082479422140097, "support": 14571.0}, "accuracy": 0.8978882572968515, "macro avg": {"precision": 0.8509400453089349, "recall": 0.8291037644939591, "f1-score": 0.839244975995238, "support": 33953.0}, "weighted avg": {"precision": 0.8947265686653585, "recall": 0.8978882572968515, "f1-score": 0.8958462048390052, "support": 33953.0}}

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:02173204e404c6f7ebe1eb90c6a002fb41403b811755ee199ca8ec0612ebc076
 size 592324828