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jvalline
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randomization_model_new

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
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  1. README.md +71 -94
  2. generation_config.json +6 -6
README.md CHANGED
@@ -1,94 +1,71 @@
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- ---
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- license: apache-2.0
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- base_model: t5-base
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- tags:
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- - generated_from_trainer
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- metrics:
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- - bleu
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- - wer
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- model-index:
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- - name: randomization_model_new
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- results: []
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- ---
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-
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- # randomization_model_new
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-
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- This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.5870
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- - Bleu: 0.0001
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- - Wer: 0.9532
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- - Rougel: 0.1256
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- - Gen Len: 19.0
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 10
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- - eval_batch_size: 10
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- - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - num_epochs: 3
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- - mixed_precision_training: Native AMP
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Bleu | Wer | Rougel | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-------:|
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- | 2.5389 | 0.1 | 100 | 2.1621 | 0.0 | 0.9613 | 0.1062 | 18.9925 |
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- | 2.509 | 0.2 | 200 | 2.0311 | 0.0 | 0.9589 | 0.1112 | 19.0 |
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- | 2.4189 | 0.3 | 300 | 1.9480 | 0.0 | 0.9577 | 0.1143 | 18.9995 |
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- | 2.3174 | 0.4 | 400 | 1.8855 | 0.0001 | 0.9569 | 0.1163 | 19.0 |
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- | 2.2219 | 0.5 | 500 | 1.8416 | 0.0001 | 0.956 | 0.118 | 19.0 |
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- | 2.1971 | 0.6 | 600 | 1.8083 | 0.0001 | 0.9556 | 0.1193 | 19.0 |
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- | 2.1342 | 0.7 | 700 | 1.7758 | 0.0001 | 0.9551 | 0.1207 | 19.0 |
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- | 2.179 | 0.8 | 800 | 1.7494 | 0.0001 | 0.955 | 0.121 | 19.0 |
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- | 2.0986 | 0.9 | 900 | 1.7289 | 0.0001 | 0.9546 | 0.1219 | 19.0 |
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- | 2.0907 | 1.0 | 1000 | 1.7141 | 0.0001 | 0.9542 | 0.1225 | 19.0 |
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- | 2.0455 | 1.1 | 1100 | 1.6966 | 0.0001 | 0.9542 | 0.1229 | 19.0 |
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- | 2.033 | 1.2 | 1200 | 1.6802 | 0.0001 | 0.954 | 0.1234 | 19.0 |
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- | 2.0234 | 1.3 | 1300 | 1.6669 | 0.0001 | 0.9538 | 0.1234 | 19.0 |
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- | 2.0025 | 1.4 | 1400 | 1.6557 | 0.0001 | 0.954 | 0.1236 | 19.0 |
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- | 2.0098 | 1.5 | 1500 | 1.6467 | 0.0001 | 0.9539 | 0.1236 | 19.0 |
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- | 1.9495 | 1.6 | 1600 | 1.6381 | 0.0001 | 0.9539 | 0.1242 | 19.0 |
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- | 1.964 | 1.7 | 1700 | 1.6310 | 0.0001 | 0.9537 | 0.1244 | 19.0 |
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- | 1.9228 | 1.8 | 1800 | 1.6233 | 0.0001 | 0.9537 | 0.1245 | 19.0 |
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- | 1.9449 | 1.9 | 1900 | 1.6184 | 0.0001 | 0.9535 | 0.1248 | 19.0 |
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- | 1.9273 | 2.0 | 2000 | 1.6118 | 0.0001 | 0.9536 | 0.1245 | 19.0 |
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- | 1.9191 | 2.1 | 2100 | 1.6066 | 0.0001 | 0.9535 | 0.1248 | 19.0 |
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- | 1.9337 | 2.2 | 2200 | 1.6031 | 0.0001 | 0.9534 | 0.1251 | 19.0 |
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- | 1.9273 | 2.3 | 2300 | 1.5989 | 0.0001 | 0.9535 | 0.1253 | 19.0 |
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- | 1.9076 | 2.4 | 2400 | 1.5945 | 0.0001 | 0.9535 | 0.1251 | 19.0 |
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- | 1.8714 | 2.5 | 2500 | 1.5939 | 0.0001 | 0.9534 | 0.1253 | 19.0 |
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- | 1.9247 | 2.6 | 2600 | 1.5915 | 0.0001 | 0.9533 | 0.1253 | 19.0 |
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- | 1.8908 | 2.7 | 2700 | 1.5884 | 0.0001 | 0.9532 | 0.1256 | 19.0 |
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- | 1.8858 | 2.8 | 2800 | 1.5875 | 0.0001 | 0.9532 | 0.1254 | 19.0 |
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- | 1.9158 | 2.9 | 2900 | 1.5872 | 0.0001 | 0.9532 | 0.1256 | 19.0 |
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- | 1.8725 | 3.0 | 3000 | 1.5870 | 0.0001 | 0.9532 | 0.1256 | 19.0 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.41.0
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- - Pytorch 2.3.0+cu121
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- - Datasets 2.19.1
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- - Tokenizers 0.19.1
 
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+ ---
2
+ license: apache-2.0
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+ base_model: t5-small
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+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - bleu
8
+ - wer
9
+ model-index:
10
+ - name: randomization_model_new
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # randomization_model_new
18
+
19
+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
20
+ It achieves the following results on the evaluation set:
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+ - Loss: 2.5559
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+ - Bleu: 0.0
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+ - Wer: 0.9616
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+ - Rougel: 0.1052
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+ - Gen Len: 19.0
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+
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+ ## Model description
28
+
29
+ More information needed
30
+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
44
+ - learning_rate: 2e-05
45
+ - train_batch_size: 20
46
+ - eval_batch_size: 20
47
+ - seed: 42
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: linear
50
+ - num_epochs: 3
51
+ - mixed_precision_training: Native AMP
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Wer | Rougel | Gen Len |
56
+ |:-------------:|:-----:|:----:|:---------------:|:----:|:------:|:------:|:-------:|
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+ | 3.4449 | 0.4 | 100 | 2.9554 | 0.0 | 0.9649 | 0.0961 | 18.99 |
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+ | 3.2957 | 0.8 | 200 | 2.7974 | 0.0 | 0.964 | 0.0989 | 18.984 |
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+ | 3.1923 | 1.2 | 300 | 2.6976 | 0.0 | 0.9629 | 0.1013 | 18.9945 |
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+ | 3.1268 | 1.6 | 400 | 2.6331 | 0.0 | 0.9626 | 0.1025 | 18.9985 |
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+ | 3.0741 | 2.0 | 500 | 2.5914 | 0.0 | 0.962 | 0.104 | 18.997 |
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+ | 3.0514 | 2.4 | 600 | 2.5671 | 0.0 | 0.9616 | 0.105 | 18.997 |
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+ | 3.0312 | 2.8 | 700 | 2.5559 | 0.0 | 0.9616 | 0.1052 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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+ - Pytorch 2.3.0
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
generation_config.json CHANGED
@@ -1,6 +1,6 @@
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- {
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- "decoder_start_token_id": 0,
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- "eos_token_id": 1,
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- "pad_token_id": 0,
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- "transformers_version": "4.41.0"
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- }
 
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+ {
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.41.0"
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+ }