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Browse files- README.md +52 -0
- all_results.json +8 -0
- config.json +27 -0
- hubert-pythia-70m_librispeech.train.mix_ftest.clean.csv +0 -0
- hubert-pythia-70m_librispeech.train.mix_ftest.other.csv +0 -0
- hubert-pythia-70m_librispeech.train.mix_fvalidation.clean.csv +0 -0
- hubert-pythia-70m_librispeech.train.mix_fvalidation.other.csv +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +5 -0
- summary.txt +4 -0
- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- arrow
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model-index:
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- name: hubert-pythia-70m_librispeech.train.mix
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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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# hubert-pythia-70m_librispeech.train.mix
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This model is a fine-tuned version of [speechmix/pythia-70m-test](https://huggingface.co/speechmix/pythia-70m-test) on the arrow 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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- training_steps: 50000
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### Training results
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### Framework versions
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- Transformers 4.31.0.dev0
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- Pytorch 2.0.0+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 1.42,
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"train_loss": 2.0794223800468443,
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"train_runtime": 42713.4006,
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"train_samples": 281241,
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"train_samples_per_second": 9.365,
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"train_steps_per_second": 1.171
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}
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config.json
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{
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"_name_or_path": "speechmix/pythia-70m-test",
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"architectures": [
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"HubertGPTNeoXCrossForConditionalGeneration"
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],
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"bos_token_id": 0,
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"classifier_dropout": 0.1,
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"cross_hidden_size": 768,
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neox",
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"num_attention_heads": 8,
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"num_hidden_layers": 6,
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"rotary_emb_base": 10000,
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.31.0.dev0",
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"use_cache": false,
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"use_parallel_residual": true,
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"vocab_size": 50304
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}
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hubert-pythia-70m_librispeech.train.mix_ftest.clean.csv
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hubert-pythia-70m_librispeech.train.mix_ftest.other.csv
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hubert-pythia-70m_librispeech.train.mix_fvalidation.clean.csv
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hubert-pythia-70m_librispeech.train.mix_fvalidation.other.csv
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1f2d34d736997e581b4d7ec29ed8fd1b4db1011c9476aed4ad74a881e4ac0c9
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size 741157929
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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summary.txt
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validation.clean wer score:1.444689533473034
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validation.other wer score:1.5404746084480303
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test.clean wer score:1.5075478388612389
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test.other wer score:1.5289747894363885
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 1000000000000000019884624838656,
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"tokenizer_class": "GPTNeoXTokenizer",
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"unk_token": "<|endoftext|>"
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}
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train_results.json
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{
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"epoch": 1.42,
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"train_loss": 2.0794223800468443,
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"train_runtime": 42713.4006,
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"train_samples": 281241,
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"train_samples_per_second": 9.365,
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"train_steps_per_second": 1.171
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}
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trainer_state.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:96b9128f4e435c7d5a2217554bde5666402064011827a7577e35131440618dc0
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size 4027
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