Commit
•
0b0bf1a
1
Parent(s):
239cd16
End of training
Browse files- README.md +69 -0
- adapter_config.json +35 -0
- adapter_model.safetensors +3 -0
- special_tokens_map.json +119 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +938 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: google/flan-t5-large
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metrics:
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- rouge
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model-index:
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- name: flant5-large-lora
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results: []
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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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# flant5-large-lora
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6119
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- Rouge1: 8.9675
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- Rouge2: 0.6714
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- Rougel: 8.0407
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- Rougelsum: 8.3753
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- Gen Len: 18.37
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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: 1e-05
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- train_batch_size: 6
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- eval_batch_size: 6
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 24
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 1.8402 | 1.0 | 1538 | 0.7486 | 8.8441 | 0.6859 | 7.9731 | 8.3103 | 19.502 |
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| 0.8152 | 2.0 | 3076 | 0.6119 | 8.9675 | 0.6714 | 8.0407 | 8.3753 | 18.37 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.36.1
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.15.2
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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/flan-t5-large",
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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": true,
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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": 64,
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"lora_dropout": 0.01,
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"wo",
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"v",
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"lm_head",
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"k",
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"q",
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"o",
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"wi_0",
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"wi_1"
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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": false
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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 sha256:57f1135e8295febf2e5258176ad533beae85d9a2a4880d325b3a697466cdd16c
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size 169349736
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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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],
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"eos_token": {
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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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"rstrip": false,
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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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size 791656
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tokenizer.json
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tokenizer_config.json
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|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:7e8e64192bd0d81ec7984e67166bd6e5521f8b645c30bbc275b7d7e09b157bd8
|
3 |
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size 4856
|