add MT model
Browse files- all_results.json +15 -0
- config.json +30 -0
- generated_predictions.txt +0 -0
- predict_results.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +103 -0
- training_args.bin +3 -0
all_results.json
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{
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"epoch": 10.0,
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"predict_bleu": 8.7249,
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"predict_gen_len": 156.5475,
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"predict_loss": 0.8391482830047607,
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"predict_runtime": 892.8919,
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"predict_samples": 1558,
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"predict_samples_per_second": 1.745,
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"predict_steps_per_second": 0.175,
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"train_loss": 0.7789324618461437,
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"train_runtime": 5160.394,
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"train_samples": 6644,
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"train_samples_per_second": 12.875,
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"train_steps_per_second": 1.289
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}
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config.json
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{
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"_name_or_path": "afribyT5_1",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 3968,
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"d_kv": 64,
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"d_model": 1536,
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"decoder_start_token_id": 0,
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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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"gradient_checkpointing": false,
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"num_decoder_layers": 6,
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"num_heads": 12,
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"num_layers": 18,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"tokenizer_class": "ByT5Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.12.0",
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"use_cache": true,
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"vocab_size": 384
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}
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generated_predictions.txt
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The diff for this file is too large to render.
See raw diff
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predict_results.json
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{
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"predict_bleu": 8.7249,
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"predict_gen_len": 156.5475,
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"predict_loss": 0.8391482830047607,
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"predict_runtime": 892.8919,
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"predict_samples": 1558,
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"predict_samples_per_second": 1.745,
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"predict_steps_per_second": 0.175
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:875af2911c3ff91f0bd48986ad2b2baf1dbc2c641dca50ebd4b79ad77b4b2331
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size 2326733259
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special_tokens_map.json
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tokenizer_config.json
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train_results.json
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{
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"epoch": 10.0,
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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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