Training in progress, epoch 1
Browse files- meta_data/README_s42_e1.md +57 -0
- meta_data/meta_s42_e5.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
meta_data/README_s42_e1.md
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: allenai/longformer-base-4096
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- essays_su_g
|
8 |
+
model-index:
|
9 |
+
- name: longformer-full_labels
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# longformer-full_labels
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the essays_su_g dataset.
|
19 |
+
|
20 |
+
## Model description
|
21 |
+
|
22 |
+
More information needed
|
23 |
+
|
24 |
+
## Intended uses & limitations
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Training and evaluation data
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training procedure
|
33 |
+
|
34 |
+
### Training hyperparameters
|
35 |
+
|
36 |
+
The following hyperparameters were used during training:
|
37 |
+
- learning_rate: 2e-05
|
38 |
+
- train_batch_size: 8
|
39 |
+
- eval_batch_size: 8
|
40 |
+
- seed: 42
|
41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
42 |
+
- lr_scheduler_type: linear
|
43 |
+
- num_epochs: 1
|
44 |
+
|
45 |
+
### Training results
|
46 |
+
|
47 |
+
| Training Loss | Epoch | Step | Validation Loss | B-claim | B-majorclaim | B-premise | I-claim | I-majorclaim | I-premise | O | Accuracy | Macro avg | Weighted avg |
|
48 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------:|:--------------------------------------------------------------------:|:--------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------:|
|
49 |
+
| No log | 1.0 | 41 | 0.9425 | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 277.0} | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 141.0} | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 641.0} | {'precision': 0.25806451612903225, 'recall': 0.001961265015935278, 'f1-score': 0.0038929440389294393, 'support': 4079.0} | {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 2041.0} | {'precision': 0.6311264475377237, 'recall': 0.9420340462680052, 'f1-score': 0.7558575281056281, 'support': 11455.0} | {'precision': 0.7414656771799629, 'recall': 0.8617789757412398, 'f1-score': 0.7971079531288956, 'support': 9275.0} | 0.6733 | {'precision': 0.23295094869238842, 'recall': 0.2579677552893115, 'f1-score': 0.22240834646763616, 'support': 27909.0} | {'precision': 0.5431686113325129, 'recall': 0.6733311834891971, 'f1-score': 0.575706889120186, 'support': 27909.0} |
|
50 |
+
|
51 |
+
|
52 |
+
### Framework versions
|
53 |
+
|
54 |
+
- Transformers 4.37.2
|
55 |
+
- Pytorch 2.2.0+cu121
|
56 |
+
- Datasets 2.17.0
|
57 |
+
- Tokenizers 0.15.2
|
meta_data/meta_s42_e5.json
CHANGED
@@ -1 +1 @@
|
|
1 |
-
{"B-Claim": {"precision": 0.
|
|
|
1 |
+
{"B-Claim": {"precision": 0.0, "recall": 0.0, "f1-score": 0.0, "support": 277.0}, "B-MajorClaim": {"precision": 0.0, "recall": 0.0, "f1-score": 0.0, "support": 141.0}, "B-Premise": {"precision": 0.8450704225352113, "recall": 0.093603744149766, "f1-score": 0.16853932584269662, "support": 641.0}, "I-Claim": {"precision": 0.4851063829787234, "recall": 0.11179210590831086, "f1-score": 0.1817095038852361, "support": 4079.0}, "I-MajorClaim": {"precision": 0.5744125326370757, "recall": 0.10779029887310142, "f1-score": 0.1815181518151815, "support": 2041.0}, "I-Premise": {"precision": 0.7666466706658668, "recall": 0.8925360104757748, "f1-score": 0.824815457222379, "support": 11455.0}, "O": {"precision": 0.6639350481827149, "recall": 0.9433962264150944, "f1-score": 0.7793711588135744, "support": 9275.0}, "accuracy": 0.7062237987745889, "macro avg": {"precision": 0.47645300814279895, "recall": 0.30701691226029254, "f1-score": 0.3051362282255811, "support": 27909.0}, "weighted avg": {"precision": 0.667625147461383, "recall": 0.7062237987745889, "f1-score": 0.6412495568650286, "support": 27909.0}}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 592330980
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dfcdd54da217e9768c3b0f1a8d46b0c461620e024dc144a1ac31e730354b59a7
|
3 |
size 592330980
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4664
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ac3c1a2aae25bbc0630be88cb06bcf1587fdb854bec85a564bca465c32b1ac29
|
3 |
size 4664
|