End of training
Browse files- README.md +8 -9
- config.json +5 -5
- pytorch_model.bin +2 -2
- special_tokens_map.json +102 -0
- spiece.model +2 -2
- tokenizer.json +2 -2
- tokenizer_config.json +108 -4
- training_args.bin +1 -1
README.md
CHANGED
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---
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-
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base_model: google/mt5-base
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tags:
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- generated_from_trainer
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metrics:
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@@ -15,14 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
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# bangla_idiom_generation_v1
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge1: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Rougelsum: 0.0
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- Gen Len:
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## Model description
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@@ -56,11 +55,11 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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-
| No log | 0.99 | 56 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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-
| No log | 2.0 | 113 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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-
| No log | 2.99 | 169 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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| No log | 4.0 | 226 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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| No log | 4.96 | 280 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
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### Framework versions
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---
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+
base_model: mHossain/bangla-para-v3-500000
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tags:
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- generated_from_trainer
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metrics:
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# bangla_idiom_generation_v1
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+
This model is a fine-tuned version of [mHossain/bangla-para-v3-500000](https://huggingface.co/mHossain/bangla-para-v3-500000) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge1: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Rougelsum: 0.0
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+
- Gen Len: 0.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+
| No log | 0.99 | 56 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 12.9115 |
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+
| No log | 2.0 | 113 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 12.9027 |
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+
| No log | 2.99 | 169 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+
| No log | 4.0 | 226 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| No log | 4.96 | 280 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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### Framework versions
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config.json
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"architectures": [
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"
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"classifier_dropout": 0.0,
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"d_ff": 2048,
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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": "
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"num_decoder_layers": 12,
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"num_heads": 12,
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"num_layers": 12,
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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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"tokenizer_class": "T5Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.33.3",
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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": "mHossain/bangla-para-v3-500000",
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"architectures": [
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"T5ForConditionalGeneration"
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"d_ff": 2048,
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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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"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": 12,
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"num_heads": 12,
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"num_layers": 12,
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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": "4.33.3",
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"vocab_size": 32100
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}
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pytorch_model.bin
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special_tokens_map.json
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spiece.model
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tokenizer.json
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tokenizer_config.json
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"<extra_id_68>",
|
72 |
+
"<extra_id_69>",
|
73 |
+
"<extra_id_70>",
|
74 |
+
"<extra_id_71>",
|
75 |
+
"<extra_id_72>",
|
76 |
+
"<extra_id_73>",
|
77 |
+
"<extra_id_74>",
|
78 |
+
"<extra_id_75>",
|
79 |
+
"<extra_id_76>",
|
80 |
+
"<extra_id_77>",
|
81 |
+
"<extra_id_78>",
|
82 |
+
"<extra_id_79>",
|
83 |
+
"<extra_id_80>",
|
84 |
+
"<extra_id_81>",
|
85 |
+
"<extra_id_82>",
|
86 |
+
"<extra_id_83>",
|
87 |
+
"<extra_id_84>",
|
88 |
+
"<extra_id_85>",
|
89 |
+
"<extra_id_86>",
|
90 |
+
"<extra_id_87>",
|
91 |
+
"<extra_id_88>",
|
92 |
+
"<extra_id_89>",
|
93 |
+
"<extra_id_90>",
|
94 |
+
"<extra_id_91>",
|
95 |
+
"<extra_id_92>",
|
96 |
+
"<extra_id_93>",
|
97 |
+
"<extra_id_94>",
|
98 |
+
"<extra_id_95>",
|
99 |
+
"<extra_id_96>",
|
100 |
+
"<extra_id_97>",
|
101 |
+
"<extra_id_98>",
|
102 |
+
"<extra_id_99>"
|
103 |
+
],
|
104 |
"clean_up_tokenization_spaces": true,
|
105 |
"eos_token": "</s>",
|
106 |
+
"extra_ids": 100,
|
107 |
+
"max_length": 256,
|
108 |
+
"model_max_length": 512,
|
109 |
"pad_token": "<pad>",
|
110 |
"sp_model_kwargs": {},
|
111 |
+
"stride": 0,
|
112 |
"tokenizer_class": "T5Tokenizer",
|
113 |
+
"truncation_side": "right",
|
114 |
+
"truncation_strategy": "longest_first",
|
115 |
"unk_token": "<unk>"
|
116 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4219
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e50833c3c2b48c43373dd9e91e76677d98c910f06080a821896792b8e4336ec5
|
3 |
size 4219
|