samuellimabraz
commited on
Commit
•
4792c89
1
Parent(s):
93f1294
End of training
Browse files- README.md +94 -0
- all_results.json +12 -0
- config.json +61 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- special_tokens_map.json +119 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +937 -0
- train_results.json +12 -0
- trainer_state.json +2400 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: google-t5/t5-small
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tags:
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- generated_from_trainer
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datasets:
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- Andyrasika/TweetSumm-tuned
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metrics:
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- rouge
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- f1
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- precision
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- recall
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model-index:
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- name: t5-small-Full-TweetSumm-1724699443
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results:
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- task:
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name: Summarization
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type: summarization
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dataset:
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name: Andyrasika/TweetSumm-tuned
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type: Andyrasika/TweetSumm-tuned
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metrics:
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- name: Rouge1
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type: rouge
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value: 0.4576
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- name: F1
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type: f1
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value: 0.8917
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- name: Precision
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type: precision
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value: 0.8901
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- name: Recall
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type: recall
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value: 0.8936
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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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# t5-small-Full-TweetSumm-1724699443
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the Andyrasika/TweetSumm-tuned dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9954
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- Rouge1: 0.4576
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- Rouge2: 0.2129
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- Rougel: 0.3814
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- Rougelsum: 0.4246
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- Gen Len: 49.4636
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- F1: 0.8917
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- Precision: 0.8901
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- Recall: 0.8936
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 8
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- eval_batch_size: 8
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:---------:|:------:|
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| 2.3321 | 1.0 | 110 | 2.0722 | 0.462 | 0.2119 | 0.3832 | 0.429 | 49.4818 | 0.8916 | 0.8905 | 0.893 |
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| 2.0488 | 2.0 | 220 | 2.0052 | 0.453 | 0.2025 | 0.3721 | 0.4167 | 49.5727 | 0.8912 | 0.8889 | 0.8938 |
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| 1.7205 | 3.0 | 330 | 1.9954 | 0.4576 | 0.2129 | 0.3814 | 0.4246 | 49.4636 | 0.8917 | 0.8901 | 0.8936 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"all_params": 60506624,
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"epoch": 3.0,
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"memory_footprint": 242026496,
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"total_flos": 356896330481664.0,
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"train_loss": 2.027634771303697,
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"train_runtime": 130.1895,
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"train_samples_per_second": 20.255,
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"train_steps_per_second": 2.535,
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"trainable_params": 60506624,
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"trainable_params_percent": 100.0
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}
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config.json
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{
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"_name_or_path": "google-t5/t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 6,
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"num_heads": 8,
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"num_layers": 6,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.44.0",
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"use_cache": true,
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"vocab_size": 32128
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}
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generation_config.json
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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": "4.44.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:87507f5a30836abb2b3ef3716d8b55befed51a0d36aaf10da2f94d760032d203
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size 242041896
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special_tokens_map.json
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{
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"additional_special_tokens": [
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],
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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3 |
+
size 791656
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
@@ -0,0 +1,937 @@
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<pad>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
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"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
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"1": {
|
12 |
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"content": "</s>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "<unk>",
|
21 |
+
"lstrip": false,
|
22 |
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"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
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"special": true
|
26 |
+
},
|
27 |
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"32000": {
|
28 |
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"content": "<extra_id_99>",
|
29 |
+
"lstrip": false,
|
30 |
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"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
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"32001": {
|
36 |
+
"content": "<extra_id_98>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
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"special": true
|
42 |
+
},
|
43 |
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"32002": {
|
44 |
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"content": "<extra_id_97>",
|
45 |
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"lstrip": false,
|
46 |
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"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
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"special": true
|
50 |
+
},
|
51 |
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"32003": {
|
52 |
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"content": "<extra_id_96>",
|
53 |
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"lstrip": false,
|
54 |
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"normalized": false,
|
55 |
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"rstrip": false,
|
56 |
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"single_word": false,
|
57 |
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"special": true
|
58 |
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},
|
59 |
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"32004": {
|
60 |
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"content": "<extra_id_95>",
|
61 |
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"lstrip": false,
|
62 |
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"normalized": false,
|
63 |
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"rstrip": false,
|
64 |
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"single_word": false,
|
65 |
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"special": true
|
66 |
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},
|
67 |
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"32005": {
|
68 |
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"content": "<extra_id_94>",
|
69 |
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"lstrip": false,
|
70 |
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"normalized": false,
|
71 |
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"rstrip": false,
|
72 |
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"single_word": false,
|
73 |
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"special": true
|
74 |
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},
|
75 |
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"32006": {
|
76 |
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"content": "<extra_id_93>",
|
77 |
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"lstrip": false,
|
78 |
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"normalized": false,
|
79 |
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"rstrip": false,
|
80 |
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"single_word": false,
|
81 |
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"special": true
|
82 |
+
},
|
83 |
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"32007": {
|
84 |
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"content": "<extra_id_92>",
|
85 |
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"lstrip": false,
|
86 |
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"normalized": false,
|
87 |
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"rstrip": false,
|
88 |
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"single_word": false,
|
89 |
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"special": true
|
90 |
+
},
|
91 |
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"32008": {
|
92 |
+
"content": "<extra_id_91>",
|
93 |
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"lstrip": false,
|
94 |
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"normalized": false,
|
95 |
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"rstrip": false,
|
96 |
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"single_word": false,
|
97 |
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"special": true
|
98 |
+
},
|
99 |
+
"32009": {
|
100 |
+
"content": "<extra_id_90>",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": true
|
106 |
+
},
|
107 |
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"32010": {
|
108 |
+
"content": "<extra_id_89>",
|
109 |
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"lstrip": false,
|
110 |
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"normalized": false,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": true
|
114 |
+
},
|
115 |
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"32011": {
|
116 |
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"content": "<extra_id_88>",
|
117 |
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"lstrip": false,
|
118 |
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"normalized": false,
|
119 |
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"rstrip": false,
|
120 |
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"single_word": false,
|
121 |
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"special": true
|
122 |
+
},
|
123 |
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"32012": {
|
124 |
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"content": "<extra_id_87>",
|
125 |
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"lstrip": false,
|
126 |
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"normalized": false,
|
127 |
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"rstrip": false,
|
128 |
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"single_word": false,
|
129 |
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"special": true
|
130 |
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},
|
131 |
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"32013": {
|
132 |
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"content": "<extra_id_86>",
|
133 |
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"lstrip": false,
|
134 |
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"normalized": false,
|
135 |
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"rstrip": false,
|
136 |
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"single_word": false,
|
137 |
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"special": true
|
138 |
+
},
|
139 |
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train_results.json
ADDED
@@ -0,0 +1,12 @@
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{
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trainer_state.json
ADDED
@@ -0,0 +1,2400 @@
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