End of training
Browse files- README.md +53 -0
- config.json +32 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- runs/Dec23_00-56-53_fece9630eba3/events.out.tfevents.1703293015.fece9630eba3.42.0 +3 -0
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +937 -0
- training_args.bin +3 -0
README.md
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---
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+
license: mit
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+
base_model: VietAI/vit5-large
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tags:
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- generated_from_trainer
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model-index:
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- name: KLTN_COQE_viT5_total_APSOL_v2
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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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# KLTN_COQE_viT5_total_APSOL_v2
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This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-large) on the None dataset.
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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: 20
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.36.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "VietAI/vit5-large",
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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": 2816,
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"d_kv": 64,
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"d_model": 1024,
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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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"num_decoder_layers": 24,
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"num_heads": 16,
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"num_layers": 24,
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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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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.36.0",
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"use_cache": false,
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"vocab_size": 36100
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}
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generation_config.json
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{
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"_from_model_config": true,
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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": "4.36.0"
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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:f9f22009bc60cf3e1dbe686109ab05c4b71a1f63bc72deda41f6dcac7ac212ce
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size 3165207432
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runs/Dec23_00-56-53_fece9630eba3/events.out.tfevents.1703293015.fece9630eba3.42.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:adac9dd89c346d94a393409e3f77cec7b1f25012fcb7ca60860dbf1a38f51617
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size 8014
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"unk_token": "<unk>"
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}
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spiece.model
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:59986b62f9f0b90edafb9b073ea7b93d21114a5841219a1ea2399ade73f729c6
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size 820370
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:0493ce37209436f9018d274253db163eab7f1bd4132b50e843ef2e8638692017
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3 |
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size 4283
|