saicharan8
commited on
Commit
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Training complete
Browse files- README.md +53 -0
- config.json +34 -0
- generation_config.json +8 -0
- model.safetensors +3 -0
- runs/Jan09_06-16-15_808bc8082383/events.out.tfevents.1704780987.808bc8082383.42.0 +3 -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/umt5-small
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tags:
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- summarization
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- generated_from_trainer
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model-index:
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- name: output
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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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# output
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This model is a fine-tuned version of [google/umt5-small](https://huggingface.co/google/umt5-small) on an unknown 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: 2
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- eval_batch_size: 16
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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: 2
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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": "google/umt5-small",
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"architectures": [
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"UMT5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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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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"max_new_tokens": 64,
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"model_type": "umt5",
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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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"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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"scalable_attention": true,
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"tie_word_embeddings": false,
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"tokenizer_class": "T5Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.36.0",
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"use_cache": true,
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"vocab_size": 256384
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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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"max_new_tokens": 64,
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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 sha256:59009b05dd97fcb4b25e55e6fc8ff197fb28fd7346514af613f6e33e2710a9a3
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size 1226432312
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runs/Jan09_06-16-15_808bc8082383/events.out.tfevents.1704780987.808bc8082383.42.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9d719f4730a9ef09b3b72bbe2df714cb75e4abd882a1ca136c2af166443be08
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size 8041
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6bcd4cc7e40a58da582b8d406253177ef7356ba8e971d3ade4fd2cce82123653
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size 4411
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