roequitz commited on
Commit
8fc89c1
1 Parent(s): b0918d9

End of training

Browse files
README.md ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: sshleifer/distilbart-xsum-12-6
5
+ tags:
6
+ - generated_from_trainer
7
+ model-index:
8
+ - name: bart-abs-2409-1947-lr-0.0003-bs-4-maxep-10
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # bart-abs-2409-1947-lr-0.0003-bs-4-maxep-10
16
+
17
+ This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-6](https://huggingface.co/sshleifer/distilbart-xsum-12-6) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 7.1633
20
+ - Rouge/rouge1: 0.2439
21
+ - Rouge/rouge2: 0.0504
22
+ - Rouge/rougel: 0.2065
23
+ - Rouge/rougelsum: 0.2067
24
+ - Bertscore/bertscore-precision: 0.8544
25
+ - Bertscore/bertscore-recall: 0.8581
26
+ - Bertscore/bertscore-f1: 0.8562
27
+ - Meteor: 0.229
28
+ - Gen Len: 45.0
29
+
30
+ ## Model description
31
+
32
+ More information needed
33
+
34
+ ## Intended uses & limitations
35
+
36
+ More information needed
37
+
38
+ ## Training and evaluation data
39
+
40
+ More information needed
41
+
42
+ ## Training procedure
43
+
44
+ ### Training hyperparameters
45
+
46
+ The following hyperparameters were used during training:
47
+ - learning_rate: 0.0003
48
+ - train_batch_size: 4
49
+ - eval_batch_size: 4
50
+ - seed: 42
51
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
52
+ - lr_scheduler_type: linear
53
+ - num_epochs: 10
54
+ - mixed_precision_training: Native AMP
55
+
56
+ ### Training results
57
+
58
+ | Training Loss | Epoch | Step | Validation Loss | Rouge/rouge1 | Rouge/rouge2 | Rouge/rougel | Rouge/rougelsum | Bertscore/bertscore-precision | Bertscore/bertscore-recall | Bertscore/bertscore-f1 | Meteor | Gen Len |
59
+ |:-------------:|:-----:|:----:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-----------------------------:|:--------------------------:|:----------------------:|:------:|:-------:|
60
+ | 3.3364 | 1.0 | 217 | 3.8952 | 0.2911 | 0.0832 | 0.2351 | 0.2361 | 0.8685 | 0.8711 | 0.8697 | 0.2279 | 43.0 |
61
+ | 2.369 | 2.0 | 434 | 4.0594 | 0.2603 | 0.0584 | 0.2204 | 0.2202 | 0.871 | 0.8545 | 0.8626 | 0.2129 | 35.0 |
62
+ | 1.4708 | 3.0 | 651 | 4.6061 | 0.2722 | 0.0714 | 0.2029 | 0.2031 | 0.8612 | 0.8618 | 0.8615 | 0.2582 | 45.0 |
63
+ | 0.9251 | 4.0 | 868 | 5.2239 | 0.2333 | 0.0475 | 0.1761 | 0.1762 | 0.8431 | 0.8562 | 0.8495 | 0.2342 | 58.8273 |
64
+ | 0.6367 | 5.0 | 1085 | 5.8193 | 0.2622 | 0.0744 | 0.2001 | 0.1997 | 0.8634 | 0.8616 | 0.8625 | 0.1982 | 32.0 |
65
+ | 0.486 | 6.0 | 1302 | 6.2975 | 0.2591 | 0.0557 | 0.2009 | 0.2012 | 0.859 | 0.8605 | 0.8597 | 0.2511 | 48.0091 |
66
+ | 0.3892 | 7.0 | 1519 | 6.5002 | 0.2582 | 0.0781 | 0.2156 | 0.2154 | 0.8771 | 0.8626 | 0.8697 | 0.1855 | 29.0 |
67
+ | 0.3152 | 8.0 | 1736 | 6.7352 | 0.313 | 0.0882 | 0.2413 | 0.2416 | 0.8789 | 0.8681 | 0.8735 | 0.2252 | 34.0 |
68
+ | 0.2751 | 9.0 | 1953 | 6.9970 | 0.2906 | 0.0847 | 0.2272 | 0.2274 | 0.8671 | 0.8567 | 0.8618 | 0.1991 | 27.0 |
69
+ | 0.24 | 10.0 | 2170 | 7.1633 | 0.2439 | 0.0504 | 0.2065 | 0.2067 | 0.8544 | 0.8581 | 0.8562 | 0.229 | 45.0 |
70
+
71
+
72
+ ### Framework versions
73
+
74
+ - Transformers 4.44.2
75
+ - Pytorch 2.4.0
76
+ - Datasets 3.0.0
77
+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "sshleifer/distilbart-xsum-12-6",
3
+ "_num_labels": 3,
4
+ "activation_dropout": 0.0,
5
+ "activation_function": "gelu",
6
+ "add_bias_logits": false,
7
+ "add_final_layer_norm": false,
8
+ "architectures": [
9
+ "BartForConditionalGeneration"
10
+ ],
11
+ "attention_dropout": 0.0,
12
+ "bos_token_id": 0,
13
+ "classif_dropout": 0.0,
14
+ "classifier_dropout": 0.0,
15
+ "d_model": 1024,
16
+ "decoder_attention_heads": 16,
17
+ "decoder_ffn_dim": 4096,
18
+ "decoder_layerdrop": 0.0,
19
+ "decoder_layers": 6,
20
+ "decoder_start_token_id": 2,
21
+ "dropout": 0.1,
22
+ "early_stopping": true,
23
+ "encoder_attention_heads": 16,
24
+ "encoder_ffn_dim": 4096,
25
+ "encoder_layerdrop": 0.0,
26
+ "encoder_layers": 12,
27
+ "eos_token_id": 2,
28
+ "eos_token_ids": [
29
+ 2
30
+ ],
31
+ "extra_pos_embeddings": 2,
32
+ "forced_eos_token_id": 2,
33
+ "gradient_checkpointing": false,
34
+ "id2label": {
35
+ "0": "LABEL_0",
36
+ "1": "LABEL_1",
37
+ "2": "LABEL_2"
38
+ },
39
+ "init_std": 0.02,
40
+ "is_encoder_decoder": true,
41
+ "label2id": {
42
+ "LABEL_0": 0,
43
+ "LABEL_1": 1,
44
+ "LABEL_2": 2
45
+ },
46
+ "length_penalty": 0.5,
47
+ "max_length": 62,
48
+ "max_position_embeddings": 1024,
49
+ "min_length": 11,
50
+ "model_type": "bart",
51
+ "no_repeat_ngram_size": 3,
52
+ "normalize_before": false,
53
+ "normalize_embedding": true,
54
+ "num_beams": 6,
55
+ "num_hidden_layers": 12,
56
+ "output_past": true,
57
+ "pad_token_id": 1,
58
+ "prefix": " ",
59
+ "replacing_rate": 0,
60
+ "save_step": 58,
61
+ "scale_embedding": false,
62
+ "static_position_embeddings": false,
63
+ "student_decoder_layers": null,
64
+ "student_encoder_layers": null,
65
+ "task_specific_params": {},
66
+ "torch_dtype": "float32",
67
+ "transformers_version": "4.44.2",
68
+ "use_cache": true,
69
+ "vocab_size": 50264
70
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 0,
3
+ "decoder_start_token_id": 2,
4
+ "early_stopping": true,
5
+ "eos_token_id": 2,
6
+ "forced_eos_token_id": 2,
7
+ "length_penalty": 0.5,
8
+ "max_length": 62,
9
+ "min_length": 11,
10
+ "no_repeat_ngram_size": 3,
11
+ "num_beams": 6,
12
+ "pad_token_id": 1,
13
+ "transformers_version": "4.44.2"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf7eac7b9e5c4cc409f865ee641e1c88196063d652625b525f42c287d35a31b3
3
+ size 1222284056
special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": true,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "</s>",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "<unk>",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "</s>",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "50264": {
37
+ "content": "<mask>",
38
+ "lstrip": true,
39
+ "normalized": true,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ }
44
+ },
45
+ "bos_token": "<s>",
46
+ "clean_up_tokenization_spaces": true,
47
+ "cls_token": "<s>",
48
+ "eos_token": "</s>",
49
+ "errors": "replace",
50
+ "mask_token": "<mask>",
51
+ "model_max_length": 1024,
52
+ "pad_token": "<pad>",
53
+ "sep_token": "</s>",
54
+ "tokenizer_class": "BartTokenizer",
55
+ "trim_offsets": true,
56
+ "unk_token": "<unk>"
57
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4f860fba9aa32258965397147c9699b88487807f36472a1a782ea664362e4c5f
3
+ size 5496
vocab.json ADDED
The diff for this file is too large to render. See raw diff