add model files straight-outta-trainer
Browse files- .gitignore +1 -0
- README.md +57 -0
- config.json +28 -0
- logs/1653057760.640131/events.out.tfevents.1653057760.beade25d972b.96.1 +3 -0
- logs/events.out.tfevents.1653057760.beade25d972b.96.0 +3 -0
- pytorch_model.bin +3 -0
- trainer_state.json +1776 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: opt-peter-1pt3B-1E-ps_DS-msgs_Ep-2_Bs-4
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results: []
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| 8 |
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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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# opt-peter-1pt3B-1E-ps_DS-msgs_Ep-2_Bs-4
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This model is a fine-tuned version of [pszemraj/opt-peter-1.3B-1E](https://huggingface.co/pszemraj/opt-peter-1.3B-1E) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.4220
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- eval_runtime: 954.9678
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- eval_samples_per_second: 9.114
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- eval_steps_per_second: 2.279
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- epoch: 1.0
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| 22 |
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- step: 1235
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 2
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### Framework versions
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- Transformers 4.19.2
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- Pytorch 1.11.0+cu113
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- Tokenizers 0.12.1
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config.json
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{
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"_name_or_path": "pszemraj/opt-peter-1.3B-1E",
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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": 0,
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"do_layer_norm_before": true,
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"dropout": 0.1,
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"eos_token_id": 2,
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"ffn_dim": 8192,
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"hidden_size": 2048,
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"init_std": 0.02,
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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": 32,
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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": "4.19.2",
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"use_cache": false,
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"vocab_size": 50265,
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"word_embed_proj_dim": 2048
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}
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logs/1653057760.640131/events.out.tfevents.1653057760.beade25d972b.96.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:c47647a60bb4065f92a68ef467f05e50bb8dc94607b488a160e581734239673c
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size 5394
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logs/events.out.tfevents.1653057760.beade25d972b.96.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1262132af3379639eae668630bc669710c3e31e8e11532b48323d7f6d80a85b
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size 49784
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d2508e76de339f54093ad2f86fc540bfa5ac8c7a037fc5c0c51be088f877e80
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size 5263011731
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trainer_state.json
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