Vui Seng Chua
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Browse files- README.md +71 -0
- all_results.json +15 -0
- compressed_graph.dot +0 -0
- config.json +31 -0
- eval_results.json +10 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- nncf_output.log +0 -0
- openvino_config.json +66 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- original_graph.dot +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +40 -0
- train_results.json +8 -0
- trainer_state.json +25 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: other
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tags:
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- generated_from_trainer
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datasets:
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- wikitext
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metrics:
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- accuracy
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model-index:
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- name: ov-opt-350m-8bit-85pc-sparse-kv-cache
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results:
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- task:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name: wikitext wikitext-2-raw-v1
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type: wikitext
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config: wikitext-2-raw-v1
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split: validation
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args: wikitext-2-raw-v1
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.02541544477028348
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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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# ov-opt-350m-8bit-85pc-sparse-kv-cache
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the wikitext wikitext-2-raw-v1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.9750
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- Accuracy: 0.0254
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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: 1
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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: 1
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### Training results
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu117
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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": 0.0,
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"eval_accuracy": 0.02541544477028348,
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"eval_loss": 8.974957466125488,
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"eval_runtime": 6.8308,
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"eval_samples": 3,
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"eval_samples_per_second": 0.439,
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"eval_steps_per_second": 0.439,
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"perplexity": 7902.681933731476,
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"train_loss": 10.797767639160156,
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"train_runtime": 59.971,
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"train_samples": 2355,
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"train_samples_per_second": 0.133,
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"train_steps_per_second": 0.017
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}
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compressed_graph.dot
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config.json
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{
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"_name_or_path": "facebook/opt-350m",
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"_remove_final_layer_norm": false,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"OPTForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"do_layer_norm_before": false,
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"dropout": 0.1,
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"enable_bias": true,
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"eos_token_id": 2,
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"ffn_dim": 4096,
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"hidden_size": 1024,
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"init_std": 0.02,
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"layer_norm_elementwise_affine": true,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "opt",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"prefix": "</s>",
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"use_cache": true,
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"vocab_size": 50272,
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"word_embed_proj_dim": 512
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}
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eval_results.json
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{
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"epoch": 0.0,
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"eval_accuracy": 0.02541544477028348,
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"eval_loss": 8.974957466125488,
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"eval_runtime": 6.8308,
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"eval_samples": 3,
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"eval_samples_per_second": 0.439,
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"eval_steps_per_second": 0.439,
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"perplexity": 7902.681933731476
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.30.2"
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}
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merges.txt
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nncf_output.log
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openvino_config.json
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{
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"compression": [
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{
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"algorithm": "magnitude_sparsity",
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"ignored_scopes": [
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"{re}.*Embedding",
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"{re}.*lm_head*"
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],
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"params": {
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"sparsity_level_setting_mode": "layer-wise"
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},
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"sparsity_init": 0.85
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},
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{
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"algorithm": "quantization",
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"export_to_onnx_standard_ops": false,
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"ignored_scopes": [
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"{re}.*Embedding*",
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"{re}.*__add___*",
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"{re}.*layer_norm_*"
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],
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"initializer": {
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"batchnorm_adaptation": {
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"num_bn_adaptation_samples": 0
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},
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"range": {
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"num_init_samples": 8,
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"type": "mean_min_max"
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}
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},
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"overflow_fix": "disable",
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"scope_overrides": {
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"activations": {
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"activations": {
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"mode": "symmetric"
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},
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"weights": {
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"mode": "symmetric"
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}
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}
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}
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}
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],
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"input_info": [
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{
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"keyword": "input_ids",
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"sample_size": [
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8,
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1024
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],
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"type": "long"
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},
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{
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"keyword": "attention_mask",
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"sample_size": [
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8,
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1024
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],
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"type": "long"
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}
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],
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"log_dir": "/data1/vchua/temp/ov-opt-350m-8bit-85pc-sparse-kv-cache",
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"optimum_version": "1.8.8",
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"save_onnx_model": false,
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"transformers_version": "4.30.2"
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}
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openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:78390eeb043f7b4dfd18a58cd1d5a0a5f25b83aeaf36c03e1591bac3a8cf0980
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size 442503316
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openvino_model.xml
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original_graph.dot
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:770487bbb29d130751fa27906a76ea3ec4d835231872d2aa50f852e97c3a73ad
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size 2538846347
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special_tokens_map.json
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{
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": true,
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"content": "<pad>",
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"rstrip": false,
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},
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": {
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"content": "</s>",
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}
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}
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train_results.json
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{
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"epoch": 0.0,
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"train_loss": 10.797767639160156,
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"train_samples": 2355,
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"train_samples_per_second": 0.133,
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"train_steps_per_second": 0.017
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.003389830508474576,
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"global_step": 1,
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"is_world_process_zero": true,
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{
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"max_steps": 1,
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"trial_name": null,
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25 |
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}
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:99311528991158f97401aa49595d2b05000bf88fbcfd9aacb24d5fefbca07483
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3 |
+
size 3963
|
vocab.json
ADDED
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|
|