Model save

README.md

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+---
+license: apache-2.0
+base_model: EleutherAI/pythia-6.9b
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: pythia-ultrachat
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# pythia-ultrachat
+
+This model is a fine-tuned version of [EleutherAI/pythia-6.9b](https://huggingface.co/EleutherAI/pythia-6.9b) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2100
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 1.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2094        | 1.0   | 1001 | 1.2100          |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.15.0

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 1.2099609375,
+    "eval_runtime": 156.5039,
+    "eval_samples": 23110,
+    "eval_samples_per_second": 90.586,
+    "eval_steps_per_second": 0.358,
+    "train_loss": 1.2428761424122752,
+    "train_runtime": 6169.2421,
+    "train_samples": 207865,
+    "train_samples_per_second": 20.769,
+    "train_steps_per_second": 0.162
+}

config.json

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+{
+  "_name_or_path": "EleutherAI/pythia-6.9b",
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "eos_token_id": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "rope_scaling": null,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 0.25,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": false,
+  "use_parallel_residual": true,
+  "vocab_size": 50432
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 1.2099609375,
+    "eval_runtime": 156.5039,
+    "eval_samples": 23110,
+    "eval_samples_per_second": 90.586,
+    "eval_steps_per_second": 0.358
+}

generation_config.json

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+{
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+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.36.2",
+  "use_cache": false
+}

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