Hugging Face's logo

devagonal
/
t5-small-squad-qag

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files
xet
Community
devagonal commited on
Commit
fea50a1
·
verified ·
1 Parent(s): d875408

End of training

Browse files
Files changed (5) hide show
  1. README.md +159 -0
  2. config.json +61 -0
  3. generation_config.json +7 -0
  4. model.safetensors +3 -0
  5. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,159 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: t5-small
5
+ tags:
6
+ - generated_from_trainer
7
+ model-index:
8
+ - name: t5-small-squad-qag
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
+ # t5-small-squad-qag
16
+
17
+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.5660
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: 3e-05
39
+ - train_batch_size: 8
40
+ - eval_batch_size: 8
41
+ - seed: 42
42
+ - gradient_accumulation_steps: 4
43
+ - total_train_batch_size: 32
44
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 100
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss |
51
+ |:-------------:|:-------:|:----:|:---------------:|
52
+ | 13.5664 | 0.5714 | 1 | 14.0489 |
53
+ | 18.6422 | 1.5714 | 2 | 13.0300 |
54
+ | 17.8287 | 2.5714 | 3 | 12.0308 |
55
+ | 17.0632 | 3.5714 | 4 | 11.0754 |
56
+ | 16.1516 | 4.5714 | 5 | 10.1440 |
57
+ | 14.6881 | 5.5714 | 6 | 9.1360 |
58
+ | 14.226 | 6.5714 | 7 | 8.1785 |
59
+ | 12.7129 | 7.5714 | 8 | 7.4610 |
60
+ | 11.9365 | 8.5714 | 9 | 6.7690 |
61
+ | 10.6449 | 9.5714 | 10 | 6.0893 |
62
+ | 9.8716 | 10.5714 | 11 | 5.4196 |
63
+ | 9.1578 | 11.5714 | 12 | 4.7783 |
64
+ | 9.1422 | 12.5714 | 13 | 4.1559 |
65
+ | 8.0235 | 13.5714 | 14 | 3.5585 |
66
+ | 7.2521 | 14.5714 | 15 | 3.0355 |
67
+ | 6.9468 | 15.5714 | 16 | 2.5595 |
68
+ | 6.3573 | 16.5714 | 17 | 2.1188 |
69
+ | 6.0266 | 17.5714 | 18 | 1.7322 |
70
+ | 5.9024 | 18.5714 | 19 | 1.3607 |
71
+ | 4.5874 | 19.5714 | 20 | 1.0799 |
72
+ | 4.7103 | 20.5714 | 21 | 0.9026 |
73
+ | 4.5861 | 21.5714 | 22 | 0.8025 |
74
+ | 4.1161 | 22.5714 | 23 | 0.7488 |
75
+ | 3.805 | 23.5714 | 24 | 0.7257 |
76
+ | 3.3272 | 24.5714 | 25 | 0.7164 |
77
+ | 3.2706 | 25.5714 | 26 | 0.7117 |
78
+ | 3.368 | 26.5714 | 27 | 0.7095 |
79
+ | 3.3499 | 27.5714 | 28 | 0.7062 |
80
+ | 2.9882 | 28.5714 | 29 | 0.7011 |
81
+ | 2.798 | 29.5714 | 30 | 0.6939 |
82
+ | 2.7807 | 30.5714 | 31 | 0.6856 |
83
+ | 2.6064 | 31.5714 | 32 | 0.6774 |
84
+ | 2.537 | 32.5714 | 33 | 0.6680 |
85
+ | 2.5005 | 33.5714 | 34 | 0.6602 |
86
+ | 2.4666 | 34.5714 | 35 | 0.6530 |
87
+ | 2.919 | 35.5714 | 36 | 0.6471 |
88
+ | 2.3748 | 36.5714 | 37 | 0.6416 |
89
+ | 2.3416 | 37.5714 | 38 | 0.6363 |
90
+ | 2.3233 | 38.5714 | 39 | 0.6312 |
91
+ | 2.2107 | 39.5714 | 40 | 0.6265 |
92
+ | 2.2191 | 40.5714 | 41 | 0.6220 |
93
+ | 2.1931 | 41.5714 | 42 | 0.6178 |
94
+ | 2.0958 | 42.5714 | 43 | 0.6136 |
95
+ | 1.9957 | 43.5714 | 44 | 0.6095 |
96
+ | 2.0614 | 44.5714 | 45 | 0.6055 |
97
+ | 2.0534 | 45.5714 | 46 | 0.6019 |
98
+ | 2.0221 | 46.5714 | 47 | 0.5987 |
99
+ | 1.8483 | 47.5714 | 48 | 0.5957 |
100
+ | 1.9068 | 48.5714 | 49 | 0.5929 |
101
+ | 1.9266 | 49.5714 | 50 | 0.5903 |
102
+ | 1.8266 | 50.5714 | 51 | 0.5882 |
103
+ | 1.7679 | 51.5714 | 52 | 0.5864 |
104
+ | 1.7766 | 52.5714 | 53 | 0.5851 |
105
+ | 1.7592 | 53.5714 | 54 | 0.5840 |
106
+ | 1.8102 | 54.5714 | 55 | 0.5832 |
107
+ | 1.6658 | 55.5714 | 56 | 0.5826 |
108
+ | 1.6261 | 56.5714 | 57 | 0.5820 |
109
+ | 1.6287 | 57.5714 | 58 | 0.5816 |
110
+ | 1.6453 | 58.5714 | 59 | 0.5814 |
111
+ | 1.5957 | 59.5714 | 60 | 0.5813 |
112
+ | 1.5529 | 60.5714 | 61 | 0.5813 |
113
+ | 1.524 | 61.5714 | 62 | 0.5814 |
114
+ | 1.5488 | 62.5714 | 63 | 0.5815 |
115
+ | 1.4817 | 63.5714 | 64 | 0.5817 |
116
+ | 1.5539 | 64.5714 | 65 | 0.5820 |
117
+ | 1.4465 | 65.5714 | 66 | 0.5821 |
118
+ | 1.4489 | 66.5714 | 67 | 0.5820 |
119
+ | 1.4475 | 67.5714 | 68 | 0.5820 |
120
+ | 1.4058 | 68.5714 | 69 | 0.5819 |
121
+ | 1.347 | 69.5714 | 70 | 0.5817 |
122
+ | 1.42 | 70.5714 | 71 | 0.5815 |
123
+ | 1.3531 | 71.5714 | 72 | 0.5813 |
124
+ | 1.5894 | 72.5714 | 73 | 0.5811 |
125
+ | 1.3858 | 73.5714 | 74 | 0.5808 |
126
+ | 1.3335 | 74.5714 | 75 | 0.5802 |
127
+ | 1.3272 | 75.5714 | 76 | 0.5796 |
128
+ | 1.3593 | 76.5714 | 77 | 0.5791 |
129
+ | 1.2942 | 77.5714 | 78 | 0.5785 |
130
+ | 1.3547 | 78.5714 | 79 | 0.5778 |
131
+ | 1.3148 | 79.5714 | 80 | 0.5767 |
132
+ | 1.3101 | 80.5714 | 81 | 0.5757 |
133
+ | 1.2415 | 81.5714 | 82 | 0.5747 |
134
+ | 1.2511 | 82.5714 | 83 | 0.5738 |
135
+ | 1.324 | 83.5714 | 84 | 0.5730 |
136
+ | 1.2649 | 84.5714 | 85 | 0.5723 |
137
+ | 1.2953 | 85.5714 | 86 | 0.5717 |
138
+ | 1.2885 | 86.5714 | 87 | 0.5711 |
139
+ | 1.2763 | 87.5714 | 88 | 0.5704 |
140
+ | 1.3113 | 88.5714 | 89 | 0.5698 |
141
+ | 1.3509 | 89.5714 | 90 | 0.5694 |
142
+ | 1.2008 | 90.5714 | 91 | 0.5689 |
143
+ | 1.2398 | 91.5714 | 92 | 0.5685 |
144
+ | 1.2502 | 92.5714 | 93 | 0.5680 |
145
+ | 1.2558 | 93.5714 | 94 | 0.5676 |
146
+ | 1.2674 | 94.5714 | 95 | 0.5672 |
147
+ | 1.1993 | 95.5714 | 96 | 0.5668 |
148
+ | 1.3029 | 96.5714 | 97 | 0.5665 |
149
+ | 1.2861 | 97.5714 | 98 | 0.5662 |
150
+ | 1.2414 | 98.5714 | 99 | 0.5661 |
151
+ | 1.2446 | 99.5714 | 100 | 0.5660 |
152
+
153
+
154
+ ### Framework versions
155
+
156
+ - Transformers 4.48.3
157
+ - Pytorch 2.5.1+cu124
158
+ - Datasets 3.3.0
159
+ - Tokenizers 0.21.0
config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "t5-small",
3
+ "architectures": [
4
+ "T5ForConditionalGeneration"
5
+ ],
6
+ "classifier_dropout": 0.0,
7
+ "d_ff": 2048,
8
+ "d_kv": 64,
9
+ "d_model": 512,
10
+ "decoder_start_token_id": 0,
11
+ "dense_act_fn": "relu",
12
+ "dropout_rate": 0.1,
13
+ "eos_token_id": 1,
14
+ "feed_forward_proj": "relu",
15
+ "initializer_factor": 1.0,
16
+ "is_encoder_decoder": true,
17
+ "is_gated_act": false,
18
+ "layer_norm_epsilon": 1e-06,
19
+ "model_type": "t5",
20
+ "n_positions": 512,
21
+ "num_decoder_layers": 6,
22
+ "num_heads": 8,
23
+ "num_layers": 6,
24
+ "output_past": true,
25
+ "pad_token_id": 0,
26
+ "relative_attention_max_distance": 128,
27
+ "relative_attention_num_buckets": 32,
28
+ "task_specific_params": {
29
+ "summarization": {
30
+ "early_stopping": true,
31
+ "length_penalty": 2.0,
32
+ "max_length": 200,
33
+ "min_length": 30,
34
+ "no_repeat_ngram_size": 3,
35
+ "num_beams": 4,
36
+ "prefix": "summarize: "
37
+ },
38
+ "translation_en_to_de": {
39
+ "early_stopping": true,
40
+ "max_length": 300,
41
+ "num_beams": 4,
42
+ "prefix": "translate English to German: "
43
+ },
44
+ "translation_en_to_fr": {
45
+ "early_stopping": true,
46
+ "max_length": 300,
47
+ "num_beams": 4,
48
+ "prefix": "translate English to French: "
49
+ },
50
+ "translation_en_to_ro": {
51
+ "early_stopping": true,
52
+ "max_length": 300,
53
+ "num_beams": 4,
54
+ "prefix": "translate English to Romanian: "
55
+ }
56
+ },
57
+ "torch_dtype": "float32",
58
+ "transformers_version": "4.48.3",
59
+ "use_cache": true,
60
+ "vocab_size": 32128
61
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "decoder_start_token_id": 0,
4
+ "eos_token_id": 1,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.48.3"
7
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08ef88e143767f3315ae88f36f71844214e28d73e33245a033a92a1c5af0e106
3
+ size 242041896
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2167eeeed71fa9b4d341fc618662eadff6356bde117eb3d8a686c7d3116cd820
3
+ size 5368