Training in progress, step 500
Browse files- .gitattributes +2 -0
- config.json +52 -51
- pytorch_model.bin +2 -2
- runs/Jul19_01-24-53_1cff2e079caf/events.out.tfevents.1689729956.1cff2e079caf.414.0 +3 -0
- source.spm +3 -0
- special_tokens_map.json +0 -50
- target.spm +3 -0
- tokenizer_config.json +5 -53
- training_args.bin +1 -1
- vocab.json +0 -0
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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source.spm filter=lfs diff=lfs merge=lfs -text
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target.spm filter=lfs diff=lfs merge=lfs -text
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config.json
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@@ -1,60 +1,61 @@
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{
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"_name_or_path": "
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"architectures": [
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"d_model": 512,
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"is_encoder_decoder": true,
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"num_decoder_layers": 6,
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"num_heads": 8,
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"num_layers": 6,
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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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"prefix": "summarize: "
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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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"early_stopping": true,
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"max_length": 300,
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"prefix": "translate English to Romanian: "
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}
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "Helsinki-NLP/opus-mt-en-vi",
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"activation_dropout": 0.0,
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"activation_function": "swish",
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"add_bias_logits": false,
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"add_final_layer_norm": false,
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"architectures": [
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"MarianMTModel"
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"bad_words_ids": [
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"bos_token_id": 0,
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"classif_dropout": 0.0,
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"classifier_dropout": 0.0,
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"d_model": 512,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"id2label": {
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"0": "LABEL_0",
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"2": "LABEL_2"
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"init_std": 0.02,
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"label2id": {
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"max_length": 512,
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"max_position_embeddings": 512,
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"model_type": "marian",
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"normalize_before": false,
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"normalize_embedding": false,
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"scale_embedding": true,
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"torch_dtype": "float32",
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"transformers_version": "4.31.0",
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"use_cache": true,
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pytorch_model.bin
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special_tokens_map.json
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target.spm
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tokenizer_config.json
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training_args.bin
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vocab.json
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