Jinchen Ge
commited on
Commit
•
36baff5
1
Parent(s):
fd841b9
Add fine-tuned model
Browse files- README.md +60 -0
- all_results.json +14 -0
- config.json +41 -0
- eval_results.json +9 -0
- ipu_config.json +31 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +1357 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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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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model-index:
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- name: clm_output_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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# clm_output_medium
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the wikitext wikitext-103-raw-v1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6973
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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: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: IPU
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- gradient_accumulation_steps: 256
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- total_train_batch_size: 1024
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- total_eval_batch_size: 18
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10.0
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- training precision: Mixed Precision
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### Training results
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### Framework versions
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- Transformers 4.18.0.dev0
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- Pytorch 1.10.0+cpu
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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all_results.json
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{
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"epoch": 10.0,
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"eval_loss": 2.697265625,
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"eval_runtime": 1045.8094,
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"eval_samples": 240,
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"eval_samples_per_second": 0.229,
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"eval_steps_per_second": 0.013,
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"perplexity": 14.83910053420958,
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"train_loss": 2.8070910754504506,
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"train_runtime": 11217.8167,
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"train_samples": 114248,
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"train_samples_per_second": 101.845,
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"train_steps_per_second": 0.099
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}
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config.json
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{
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"_name_or_path": "gpt2-medium",
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"activation_function": "gelu_new",
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"architectures": [
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"PoptorchPipelinedGPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 1024,
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"n_positions": 1024,
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"n_special": 0,
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"predict_special_tokens": true,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"torch_dtype": "float16",
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"transformers_version": "4.18.0.dev0",
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"use_cache": true,
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"vocab_size": 50257
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_loss": 2.697265625,
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"eval_runtime": 1045.8094,
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"eval_samples": 240,
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"eval_samples_per_second": 0.229,
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"eval_steps_per_second": 0.013,
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"perplexity": 14.83910053420958
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}
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ipu_config.json
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{
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"device_iterations": 2,
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"embedding_serialization_factor": 5,
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"enable_half_first_order_momentum": true,
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"enable_half_partials": true,
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"executable_cache_dir": "./exe_cache",
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"gradient_accumulation_steps": 256,
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"inference_device_iterations": 9,
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"inference_replication_factor": 2,
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"ipus_per_replica": 8,
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"layers_per_ipu": [
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0,
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3,
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],
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"matmul_proportion": 0.25,
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"optimizer_state_offchip": true,
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"optimum_version": "1.0.0",
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"output_mode": "final",
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"profile_dir": "",
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"recompute_checkpoint_every_layer": true,
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"replicated_tensor_sharding": true,
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"replication_factor": 2,
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"seed": 42,
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"use_popdist": false
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d31e1d5b593aa0a1bae1062b163e60bc9e0c9d6a7d0f0c7b147d053027cf921
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size 734915801
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special_tokens_map.json
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{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2-medium", "tokenizer_class": "GPT2Tokenizer"}
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 2.8070910754504506,
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"train_runtime": 11217.8167,
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"train_samples": 114248,
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"train_samples_per_second": 101.845,
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"train_steps_per_second": 0.099
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}
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trainer_state.json
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