End of training
Browse files- .gitignore +1 -0
- README.md +82 -0
- config.json +61 -0
- generation_config.json +6 -0
- logs/1680180813.256131/events.out.tfevents.1680180813.DESKTOP-SVEN.38488.1 +3 -0
- logs/1680180836.4713354/events.out.tfevents.1680180836.DESKTOP-SVEN.38488.3 +3 -0
- logs/events.out.tfevents.1680180813.DESKTOP-SVEN.38488.0 +3 -0
- logs/events.out.tfevents.1680180836.DESKTOP-SVEN.38488.2 +3 -0
- logs/events.out.tfevents.1680182282.DESKTOP-SVEN.38488.4 +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +112 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- samsum
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metrics:
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- rouge
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model-index:
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- name: flan-t5-small-samsum
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: samsum
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type: samsum
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config: samsum
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split: test
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 43.7829
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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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# flan-t5-small-samsum
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6325
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- Rouge1: 43.7829
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- Rouge2: 19.4994
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- Rougel: 36.5484
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- Rougelsum: 39.9323
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- Gen Len: 16.8730
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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: 5e-05
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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: 5
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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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| 1.8137 | 1.0 | 1842 | 1.6636 | 42.6155 | 18.9113 | 35.7997 | 39.046 | 16.7473 |
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| 1.7502 | 2.0 | 3684 | 1.6408 | 43.3833 | 19.1709 | 36.0178 | 39.5973 | 16.8620 |
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| 1.6864 | 3.0 | 5526 | 1.6372 | 43.31 | 19.2269 | 35.9239 | 39.6082 | 16.8559 |
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| 1.6647 | 4.0 | 7368 | 1.6334 | 43.7043 | 19.462 | 36.4417 | 39.8969 | 16.9512 |
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| 1.6391 | 5.0 | 9210 | 1.6325 | 43.7829 | 19.4994 | 36.5484 | 39.9323 | 16.8730 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0
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- Datasets 2.11.0
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- Tokenizers 0.13.2
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config.json
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{
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"_name_or_path": "google/flan-t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 1024,
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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": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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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": 8,
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"num_heads": 6,
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"num_layers": 8,
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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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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.27.4",
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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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"transformers_version": "4.27.4"
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}
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logs/1680180813.256131/events.out.tfevents.1680180813.DESKTOP-SVEN.38488.1
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pytorch_model.bin
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special_tokens_map.json
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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
ADDED
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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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|
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|
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"<extra_id_98>",
|
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|
103 |
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],
|
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"eos_token": "</s>",
|
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"extra_ids": 100,
|
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"model_max_length": 512,
|
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"pad_token": "<pad>",
|
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"sp_model_kwargs": {},
|
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"special_tokens_map_file": "/home/younes_huggingface_co/.cache/huggingface/hub/models--google--t5-v1_1-small/snapshots/fb7e6cba609f7bab11c614294bc04f82f613c7b1/special_tokens_map.json",
|
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"tokenizer_class": "T5Tokenizer",
|
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"unk_token": "<unk>"
|
112 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:015044b33e6c2647edc78506bc85d33287571e5ee1b8424b4dd11f198c02f560
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size 3707
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