stuartmesham commited on
Commit
a9f5d27
1 Parent(s): 83bf8e5

Upload with huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ metrics:
5
+ - accuracy
6
+ model-index:
7
+ - name: deberta-large_lemon_5k_2_p3
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # deberta-large_lemon_5k_2_p3
15
+
16
+ This model is a fine-tuned version of [model_saves/deberta-large_lemon_5k_2_p2](https://huggingface.co/model_saves/deberta-large_lemon_5k_2_p2) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 0.4293
19
+ - Accuracy: 0.9405
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 1e-05
39
+ - train_batch_size: 128
40
+ - eval_batch_size: 128
41
+ - seed: 52
42
+ - distributed_type: multi-GPU
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: constant
45
+ - num_epochs: 15.0
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
+ | No log | 1.0 | 268 | 0.4293 | 0.9405 |
52
+ | No log | 2.0 | 536 | 0.4665 | 0.9391 |
53
+ | No log | 3.0 | 804 | 0.5086 | 0.9388 |
54
+ | 0.2208 | 4.0 | 1072 | 0.5621 | 0.9394 |
55
+
56
+
57
+ ### Framework versions
58
+
59
+ - Transformers 4.21.0.dev0
60
+ - Pytorch 1.11.0+cu113
61
+ - Datasets 2.3.2
62
+ - Tokenizers 0.12.1
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "$START": 50265
3
+ }
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "eval_accuracy": 0.9405181184941692,
4
+ "eval_loss": 0.42925789952278137,
5
+ "eval_runtime": 4.6594,
6
+ "eval_samples": 4382,
7
+ "eval_samples_per_second": 940.468,
8
+ "eval_steps_per_second": 7.512,
9
+ "train_loss": 0.2150960520132264,
10
+ "train_runtime": 460.8647,
11
+ "train_samples": 34304,
12
+ "train_samples_per_second": 1116.51,
13
+ "train_steps_per_second": 8.723
14
+ }
config.json ADDED
The diff for this file is too large to render. See raw diff
 
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "eval_accuracy": 0.9405181184941692,
4
+ "eval_loss": 0.42925789952278137,
5
+ "eval_runtime": 4.6594,
6
+ "eval_samples": 4382,
7
+ "eval_samples_per_second": 940.468,
8
+ "eval_steps_per_second": 7.512
9
+ }
inference_tweak_params.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"min_error_probability": 0.58, "additional_confidence": 0.0}
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7e2b7a10696261b98fca2353834210a6fbe939ebbac1afc8b91c61445eed214
3
+ size 1641311087
special_tokens_map.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "$START"
4
+ ],
5
+ "bos_token": {
6
+ "content": "[CLS]",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "cls_token": {
13
+ "content": "[CLS]",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false
18
+ },
19
+ "eos_token": {
20
+ "content": "[SEP]",
21
+ "lstrip": false,
22
+ "normalized": true,
23
+ "rstrip": false,
24
+ "single_word": false
25
+ },
26
+ "mask_token": {
27
+ "content": "[MASK]",
28
+ "lstrip": true,
29
+ "normalized": true,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ },
33
+ "pad_token": {
34
+ "content": "[PAD]",
35
+ "lstrip": false,
36
+ "normalized": true,
37
+ "rstrip": false,
38
+ "single_word": false
39
+ },
40
+ "sep_token": {
41
+ "content": "[SEP]",
42
+ "lstrip": false,
43
+ "normalized": true,
44
+ "rstrip": false,
45
+ "single_word": false
46
+ },
47
+ "unk_token": {
48
+ "content": "[UNK]",
49
+ "lstrip": false,
50
+ "normalized": true,
51
+ "rstrip": false,
52
+ "single_word": false
53
+ }
54
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": true,
4
+ "add_special_tokens": false,
5
+ "bos_token": {
6
+ "__type": "AddedToken",
7
+ "content": "[CLS]",
8
+ "lstrip": false,
9
+ "normalized": true,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "cls_token": {
14
+ "__type": "AddedToken",
15
+ "content": "[CLS]",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "do_lower_case": false,
22
+ "eos_token": {
23
+ "__type": "AddedToken",
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "errors": "replace",
31
+ "mask_token": {
32
+ "__type": "AddedToken",
33
+ "content": "[MASK]",
34
+ "lstrip": true,
35
+ "normalized": true,
36
+ "rstrip": false,
37
+ "single_word": false
38
+ },
39
+ "model_max_length": 512,
40
+ "name_or_path": "model_saves/deberta-large_lemon_5k_2_p2",
41
+ "pad_token": {
42
+ "__type": "AddedToken",
43
+ "content": "[PAD]",
44
+ "lstrip": false,
45
+ "normalized": true,
46
+ "rstrip": false,
47
+ "single_word": false
48
+ },
49
+ "sep_token": {
50
+ "__type": "AddedToken",
51
+ "content": "[SEP]",
52
+ "lstrip": false,
53
+ "normalized": true,
54
+ "rstrip": false,
55
+ "single_word": false
56
+ },
57
+ "special_tokens_map_file": null,
58
+ "tokenizer_class": "DebertaTokenizer",
59
+ "unk_token": {
60
+ "__type": "AddedToken",
61
+ "content": "[UNK]",
62
+ "lstrip": false,
63
+ "normalized": true,
64
+ "rstrip": false,
65
+ "single_word": false
66
+ },
67
+ "vocab_type": "gpt2"
68
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "train_loss": 0.2150960520132264,
4
+ "train_runtime": 460.8647,
5
+ "train_samples": 34304,
6
+ "train_samples_per_second": 1116.51,
7
+ "train_steps_per_second": 8.723
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9405181184941692,
3
+ "best_model_checkpoint": "model_saves/deberta-large_lemon_5k_2_p3/checkpoint-268",
4
+ "epoch": 4.0,
5
+ "global_step": 1072,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.0,
12
+ "eval_accuracy": 0.9405181184941692,
13
+ "eval_loss": 0.42925789952278137,
14
+ "eval_runtime": 4.6465,
15
+ "eval_samples_per_second": 943.085,
16
+ "eval_steps_per_second": 7.533,
17
+ "step": 268
18
+ },
19
+ {
20
+ "epoch": 2.0,
21
+ "eval_accuracy": 0.9391428795044667,
22
+ "eval_loss": 0.4665437638759613,
23
+ "eval_runtime": 4.6371,
24
+ "eval_samples_per_second": 944.99,
25
+ "eval_steps_per_second": 7.548,
26
+ "step": 536
27
+ },
28
+ {
29
+ "epoch": 3.0,
30
+ "eval_accuracy": 0.9388242265678284,
31
+ "eval_loss": 0.5086150169372559,
32
+ "eval_runtime": 4.646,
33
+ "eval_samples_per_second": 943.168,
34
+ "eval_steps_per_second": 7.533,
35
+ "step": 804
36
+ },
37
+ {
38
+ "epoch": 3.73,
39
+ "learning_rate": 1e-05,
40
+ "loss": 0.2208,
41
+ "step": 1000
42
+ },
43
+ {
44
+ "epoch": 4.0,
45
+ "eval_accuracy": 0.9393888572099419,
46
+ "eval_loss": 0.5620639324188232,
47
+ "eval_runtime": 4.6383,
48
+ "eval_samples_per_second": 944.734,
49
+ "eval_steps_per_second": 7.546,
50
+ "step": 1072
51
+ },
52
+ {
53
+ "epoch": 4.0,
54
+ "step": 1072,
55
+ "total_flos": 1.6105037109395456e+16,
56
+ "train_loss": 0.2150960520132264,
57
+ "train_runtime": 460.8647,
58
+ "train_samples_per_second": 1116.51,
59
+ "train_steps_per_second": 8.723
60
+ }
61
+ ],
62
+ "max_steps": 4020,
63
+ "num_train_epochs": 15,
64
+ "total_flos": 1.6105037109395456e+16,
65
+ "trial_name": null,
66
+ "trial_params": null
67
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06469fc61ddc09979eb43b1e2f7ca6965f17fa5211f735ce5ce2244d0c5aad7e
3
+ size 3439
vocab.json ADDED
The diff for this file is too large to render. See raw diff