Elkelouizajo
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Browse files- README.md +52 -0
- added_tokens.json +3 -0
- all_results.json +8 -0
- config.json +48 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +789 -0
- predict_results.txt +101 -0
- special_tokens_map.json +15 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- train_results.json +8 -0
- trainer_state.json +58 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: microsoft/deberta-v2-xxlarge
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tags:
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- generated_from_trainer
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model-index:
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- name: results_deberta_medium
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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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# results_deberta_medium
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This model is a fine-tuned version of [microsoft/deberta-v2-xxlarge](https://huggingface.co/microsoft/deberta-v2-xxlarge) 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: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 8446
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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: 11.0
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### Training results
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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added_tokens.json
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{
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"[MASK]": 128000
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}
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all_results.json
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{
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"epoch": 11.0,
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"train_loss": 0.703608925559304,
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"train_runtime": 3543.902,
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"train_samples": 799,
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"train_samples_per_second": 2.48,
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"train_steps_per_second": 0.621
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-v2-xxlarge",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_head_size": 64,
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"attention_probs_dropout_prob": 0.1,
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"conv_act": "gelu",
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"conv_kernel_size": 3,
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"finetuning_task": "text-classification",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1536,
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"id2label": {
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"0": "0",
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"1": "1"
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},
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"initializer_range": 0.02,
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"intermediate_size": 6144,
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"label2id": {
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"0": 0,
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"1": 1
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 24,
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"num_hidden_layers": 48,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 1536,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"problem_type": "single_label_classification",
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.39.0.dev0",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6785ccc4de9b500fc1e8289afada5db949b2684d0faf95fd39342d8eaa9d0f6
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size 4999085984
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3050c3daa052ce66c944cad932dd363a4fbb010fe2cdda53f8835ca7390bc737
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size 1268666408
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model.safetensors.index.json
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predict_results.txt
ADDED
@@ -0,0 +1,101 @@
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2 |
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0 1
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|
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47 1
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48 1
|
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49 1
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50 1
|
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|
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|
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|
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|
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|
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86 |
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88 |
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|
89 |
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|
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|
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|
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|
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95 1
|
98 |
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96 1
|
99 |
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97 1
|
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98 1
|
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99 1
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special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
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|
1 |
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{
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|
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|
4 |
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|
5 |
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|
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|
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|
8 |
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|
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|
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|
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|
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|
13 |
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|
14 |
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}
|
15 |
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|
spm.model
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:5598d5e96f339a8d980c15f9afd405a2e5e1be7db41de3ed13b0f03fac1e8c17
|
3 |
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size 2447305
|
tokenizer.json
ADDED
The diff for this file is too large to render.
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|
tokenizer_config.json
ADDED
@@ -0,0 +1,58 @@
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|
1 |
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{
|
2 |
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|
3 |
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|
5 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
26 |
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|
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|
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|
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|
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|
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|
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|
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|
34 |
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|
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|
36 |
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|
37 |
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|
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|
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|
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|
41 |
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|
42 |
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}
|
43 |
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|
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|
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|
46 |
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|
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|
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|
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|
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|
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|
55 |
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|
56 |
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"unk_token": "[UNK]",
|
57 |
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"vocab_type": "spm"
|
58 |
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}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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|
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|
|
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|
1 |
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{
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|
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trainer_state.json
ADDED
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 11.0,
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"eval_steps": 500,
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"global_step": 2200,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 2.5,
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"grad_norm": 2.6582741737365723,
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"learning_rate": 1.5454545454545454e-05,
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"loss": 0.7137,
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"step": 500
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},
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{
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"epoch": 5.0,
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"grad_norm": 11.646175384521484,
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"learning_rate": 1.0909090909090909e-05,
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"loss": 0.7078,
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"step": 1000
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},
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{
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"epoch": 7.5,
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"grad_norm": 3.0001232624053955,
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"learning_rate": 6.363636363636364e-06,
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"loss": 0.7022,
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"step": 1500
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},
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{
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"epoch": 10.0,
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"grad_norm": 5.156288146972656,
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"learning_rate": 1.8181818181818183e-06,
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"loss": 0.6967,
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"step": 2000
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},
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{
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"epoch": 11.0,
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"step": 2200,
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"total_flos": 3.697260574382285e+16,
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"train_loss": 0.703608925559304,
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"train_runtime": 3543.902,
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"train_samples_per_second": 2.48,
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"train_steps_per_second": 0.621
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}
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],
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"logging_steps": 500,
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"max_steps": 2200,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 11,
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"save_steps": 500,
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"total_flos": 3.697260574382285e+16,
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"train_batch_size": 4,
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"trial_name": null,
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"trial_params": null
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}
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3658aba883b07b41bb50c86cfd13ed9f2fac6bc1987555ed0925809601c49d2
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size 4920
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