Commit
•
f9d2f34
1
Parent(s):
0fadde2
End of training
Browse files- README.md +96 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- all_results.json +12 -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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base_model: google-t5/t5-small
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datasets:
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- Andyrasika/TweetSumm-tuned
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library_name: peft
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license: apache-2.0
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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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tags:
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- generated_from_trainer
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model-index:
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- name: t5-small-LoRA-TweetSumm-1724701402
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results:
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- task:
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type: summarization
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name: 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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- type: rouge
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value: 0.4387
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name: Rouge1
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- type: f1
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value: 0.8896
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name: F1
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- type: precision
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value: 0.8881
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name: Precision
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- type: recall
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value: 0.8913
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name: Recall
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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-LoRA-TweetSumm-1724701402
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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: 2.0811
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- Rouge1: 0.4387
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- Rouge2: 0.196
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- Rougel: 0.3605
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- Rougelsum: 0.4055
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- Gen Len: 49.5909
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- F1: 0.8896
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- Precision: 0.8881
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- Recall: 0.8913
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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: 0.001
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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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| 2.3972 | 1.0 | 110 | 2.1384 | 0.4219 | 0.1801 | 0.3545 | 0.3925 | 49.9818 | 0.8833 | 0.8806 | 0.8861 |
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| 2.2593 | 2.0 | 220 | 2.0982 | 0.4125 | 0.1843 | 0.3448 | 0.3837 | 49.9091 | 0.8853 | 0.8822 | 0.8886 |
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| 1.9318 | 3.0 | 330 | 2.0811 | 0.4387 | 0.196 | 0.3605 | 0.4055 | 49.5909 | 0.8896 | 0.8881 | 0.8913 |
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### Framework versions
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- PEFT 0.12.1.dev0
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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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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google-t5/t5-small",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": "olora",
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v",
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"q"
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],
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"task_type": "SEQ_2_SEQ_LM",
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"use_dora": false,
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"use_rslora": true
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9d4b15d2e556f7099750f5aeff12d04a1a9cb6d0bc06399c2ffe19e04df14f3
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size 2369320
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all_results.json
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{
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"all_params": 61096448,
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"epoch": 3.0,
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"memory_footprint": 244385792,
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"total_flos": 361674414489600.0,
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"train_loss": 2.1775987458951547,
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"train_runtime": 101.4394,
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"train_samples_per_second": 25.996,
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"train_steps_per_second": 3.253,
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"trainable_params": 589824,
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"trainable_params_percent": 0.9653981848502878
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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"<extra_id_2>",
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],
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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spiece.model
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,937 @@
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|
| 1 |
+
{
|
| 2 |
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"added_tokens_decoder": {
|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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|
| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 92 |
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| 93 |
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| 94 |
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| 96 |
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| 98 |
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| 100 |
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| 101 |
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| 102 |
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| 104 |
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| 106 |
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| 109 |
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| 194 |
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| 196 |
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| 197 |
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| 281 |
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| 283 |
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| 284 |
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| 285 |
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| 288 |
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| 289 |
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| 290 |
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| 291 |
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| 292 |
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| 293 |
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| 320 |
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| 321 |
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| 322 |
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| 324 |
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| 843 |
+
"<extra_id_14>",
|
| 844 |
+
"<extra_id_15>",
|
| 845 |
+
"<extra_id_16>",
|
| 846 |
+
"<extra_id_17>",
|
| 847 |
+
"<extra_id_18>",
|
| 848 |
+
"<extra_id_19>",
|
| 849 |
+
"<extra_id_20>",
|
| 850 |
+
"<extra_id_21>",
|
| 851 |
+
"<extra_id_22>",
|
| 852 |
+
"<extra_id_23>",
|
| 853 |
+
"<extra_id_24>",
|
| 854 |
+
"<extra_id_25>",
|
| 855 |
+
"<extra_id_26>",
|
| 856 |
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"<extra_id_27>",
|
| 857 |
+
"<extra_id_28>",
|
| 858 |
+
"<extra_id_29>",
|
| 859 |
+
"<extra_id_30>",
|
| 860 |
+
"<extra_id_31>",
|
| 861 |
+
"<extra_id_32>",
|
| 862 |
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"<extra_id_33>",
|
| 863 |
+
"<extra_id_34>",
|
| 864 |
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"<extra_id_35>",
|
| 865 |
+
"<extra_id_36>",
|
| 866 |
+
"<extra_id_37>",
|
| 867 |
+
"<extra_id_38>",
|
| 868 |
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"<extra_id_39>",
|
| 869 |
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"<extra_id_40>",
|
| 870 |
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"<extra_id_41>",
|
| 871 |
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"<extra_id_42>",
|
| 872 |
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"<extra_id_43>",
|
| 873 |
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"<extra_id_44>",
|
| 874 |
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"<extra_id_45>",
|
| 875 |
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"<extra_id_46>",
|
| 876 |
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"<extra_id_47>",
|
| 877 |
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"<extra_id_48>",
|
| 878 |
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"<extra_id_49>",
|
| 879 |
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"<extra_id_50>",
|
| 880 |
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"<extra_id_51>",
|
| 881 |
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"<extra_id_52>",
|
| 882 |
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"<extra_id_53>",
|
| 883 |
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"<extra_id_54>",
|
| 884 |
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"<extra_id_55>",
|
| 885 |
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"<extra_id_56>",
|
| 886 |
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|
| 887 |
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"<extra_id_58>",
|
| 888 |
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"<extra_id_59>",
|
| 889 |
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"<extra_id_60>",
|
| 890 |
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"<extra_id_61>",
|
| 891 |
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"<extra_id_62>",
|
| 892 |
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"<extra_id_63>",
|
| 893 |
+
"<extra_id_64>",
|
| 894 |
+
"<extra_id_65>",
|
| 895 |
+
"<extra_id_66>",
|
| 896 |
+
"<extra_id_67>",
|
| 897 |
+
"<extra_id_68>",
|
| 898 |
+
"<extra_id_69>",
|
| 899 |
+
"<extra_id_70>",
|
| 900 |
+
"<extra_id_71>",
|
| 901 |
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"<extra_id_72>",
|
| 902 |
+
"<extra_id_73>",
|
| 903 |
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"<extra_id_74>",
|
| 904 |
+
"<extra_id_75>",
|
| 905 |
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"<extra_id_76>",
|
| 906 |
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"<extra_id_77>",
|
| 907 |
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"<extra_id_78>",
|
| 908 |
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"<extra_id_79>",
|
| 909 |
+
"<extra_id_80>",
|
| 910 |
+
"<extra_id_81>",
|
| 911 |
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"<extra_id_82>",
|
| 912 |
+
"<extra_id_83>",
|
| 913 |
+
"<extra_id_84>",
|
| 914 |
+
"<extra_id_85>",
|
| 915 |
+
"<extra_id_86>",
|
| 916 |
+
"<extra_id_87>",
|
| 917 |
+
"<extra_id_88>",
|
| 918 |
+
"<extra_id_89>",
|
| 919 |
+
"<extra_id_90>",
|
| 920 |
+
"<extra_id_91>",
|
| 921 |
+
"<extra_id_92>",
|
| 922 |
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"<extra_id_93>",
|
| 923 |
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"<extra_id_94>",
|
| 924 |
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"<extra_id_95>",
|
| 925 |
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"<extra_id_96>",
|
| 926 |
+
"<extra_id_97>",
|
| 927 |
+
"<extra_id_98>",
|
| 928 |
+
"<extra_id_99>"
|
| 929 |
+
],
|
| 930 |
+
"clean_up_tokenization_spaces": true,
|
| 931 |
+
"eos_token": "</s>",
|
| 932 |
+
"extra_ids": 100,
|
| 933 |
+
"model_max_length": 512,
|
| 934 |
+
"pad_token": "</s>",
|
| 935 |
+
"tokenizer_class": "T5Tokenizer",
|
| 936 |
+
"unk_token": "<unk>"
|
| 937 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,12 @@
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"all_params": 61096448,
|
| 3 |
+
"epoch": 3.0,
|
| 4 |
+
"memory_footprint": 244385792,
|
| 5 |
+
"total_flos": 361674414489600.0,
|
| 6 |
+
"train_loss": 2.1775987458951547,
|
| 7 |
+
"train_runtime": 101.4394,
|
| 8 |
+
"train_samples_per_second": 25.996,
|
| 9 |
+
"train_steps_per_second": 3.253,
|
| 10 |
+
"trainable_params": 589824,
|
| 11 |
+
"trainable_params_percent": 0.9653981848502878
|
| 12 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2400 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 330,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.00909090909090909,
|
| 13 |
+
"grad_norm": 5.2518181800842285,
|
| 14 |
+
"learning_rate": 0.000996969696969697,
|
| 15 |
+
"loss": 3.3367,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
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