Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: katuni4ka/tiny-random-dbrx
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,30 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "katuni4ka/tiny-random-dbrx",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "out_proj",
+    "Wqkv",
+    "layer"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8c2c3fa03e9ff5eeef8e9b3d9c206084caed130a4a06229801d391ea1ac1cf3
+size 34456

last-checkpoint/added_tokens.json

@@ -0,0 +1,4 @@
+{
+  "<|im_end|>": 100279,
+  "<|im_start|>": 100278
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1dc10f9c2b10c142c6151e835a3bb1fba1933d2b401270b6d13ac9c12fdcf000
+size 76154

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f26bf762c2194a5e63aecf1a3c8929a27eebaeccda218659cd956d93666b284e
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79f5b4ba066d00b62be68b9f9ec9376def1ffea9a45f98d620f3198033186a6a
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,205 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "100256": {
+      "content": "<||_unused_0_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100257": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100258": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100259": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100260": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100261": {
+      "content": "<||_unused_1_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100262": {
+      "content": "<||_unused_2_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100263": {
+      "content": "<||_unused_3_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100264": {
+      "content": "<||_unused_4_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100265": {
+      "content": "<||_unused_5_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100266": {
+      "content": "<||_unused_6_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100267": {
+      "content": "<||_unused_7_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100268": {
+      "content": "<||_unused_8_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100269": {
+      "content": "<||_unused_9_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100270": {
+      "content": "<||_unused_10_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100271": {
+      "content": "<||_unused_11_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100272": {
+      "content": "<||_unused_12_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100273": {
+      "content": "<||_unused_13_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100274": {
+      "content": "<||_unused_14_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100275": {
+      "content": "<||_unused_15_||>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100276": {
+      "content": "<|endofprompt|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100277": {
+      "content": "<|pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100278": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100279": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 32768,
+  "pad_token": "<|pad|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 11.5,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.024425989252564728,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0004885197850512946,
+      "grad_norm": 0.00014923018170520663,
+      "learning_rate": 3.3333333333333333e-06,
+      "loss": 46.0,
+      "step": 1
+    },
+    {
+      "epoch": 0.0004885197850512946,
+      "eval_loss": 11.5,
+      "eval_runtime": 21.8085,
+      "eval_samples_per_second": 158.103,
+      "eval_steps_per_second": 79.052,
+      "step": 1
+    },
+    {
+      "epoch": 0.0009770395701025891,
+      "grad_norm": 0.00010189843305852264,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 46.0,
+      "step": 2
+    },
+    {
+      "epoch": 0.0014655593551538837,
+      "grad_norm": 0.00011581017315620556,
+      "learning_rate": 1e-05,
+      "loss": 46.0,
+      "step": 3
+    },
+    {
+      "epoch": 0.0019540791402051783,
+      "grad_norm": 9.342029079562053e-05,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 46.0,
+      "step": 4
+    },
+    {
+      "epoch": 0.002442598925256473,
+      "grad_norm": 0.0001268885243916884,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 46.0,
+      "step": 5
+    },
+    {
+      "epoch": 0.0029311187103077674,
+      "grad_norm": 0.0001576822978677228,
+      "learning_rate": 2e-05,
+      "loss": 46.0,
+      "step": 6
+    },
+    {
+      "epoch": 0.003419638495359062,
+      "grad_norm": 0.00015863515727687627,
+      "learning_rate": 2.3333333333333336e-05,
+      "loss": 46.0,
+      "step": 7
+    },
+    {
+      "epoch": 0.0039081582804103565,
+      "grad_norm": 0.00016007298836484551,
+      "learning_rate": 2.6666666666666667e-05,
+      "loss": 46.0,
+      "step": 8
+    },
+    {
+      "epoch": 0.004396678065461651,
+      "grad_norm": 0.00016516570758540183,
+      "learning_rate": 3e-05,
+      "loss": 46.0,
+      "step": 9
+    },
+    {
+      "epoch": 0.004885197850512946,
+      "grad_norm": 0.00019161883392371237,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 46.0,
+      "step": 10
+    },
+    {
+      "epoch": 0.00537371763556424,
+      "grad_norm": 0.00019221696129534394,
+      "learning_rate": 3.6666666666666666e-05,
+      "loss": 46.0,
+      "step": 11
+    },
+    {
+      "epoch": 0.005862237420615535,
+      "grad_norm": 0.00019196397624909878,
+      "learning_rate": 4e-05,
+      "loss": 46.0,
+      "step": 12
+    },
+    {
+      "epoch": 0.006350757205666829,
+      "grad_norm": 0.00018356094369664788,
+      "learning_rate": 4.3333333333333334e-05,
+      "loss": 46.0,
+      "step": 13
+    },
+    {
+      "epoch": 0.006839276990718124,
+      "grad_norm": 0.0001760963787091896,
+      "learning_rate": 4.666666666666667e-05,
+      "loss": 46.0,
+      "step": 14
+    },
+    {
+      "epoch": 0.0073277967757694185,
+      "grad_norm": 0.0001812873815651983,
+      "learning_rate": 5e-05,
+      "loss": 46.0,
+      "step": 15
+    },
+    {
+      "epoch": 0.007816316560820713,
+      "grad_norm": 0.00020668996148742735,
+      "learning_rate": 5.333333333333333e-05,
+      "loss": 46.0,
+      "step": 16
+    },
+    {
+      "epoch": 0.008304836345872008,
+      "grad_norm": 0.0001919849164551124,
+      "learning_rate": 5.666666666666667e-05,
+      "loss": 46.0,
+      "step": 17
+    },
+    {
+      "epoch": 0.008793356130923302,
+      "grad_norm": 0.00018678826745599508,
+      "learning_rate": 6e-05,
+      "loss": 46.0,
+      "step": 18
+    },
+    {
+      "epoch": 0.009281875915974597,
+      "grad_norm": 0.00017623617895878851,
+      "learning_rate": 6.333333333333333e-05,
+      "loss": 46.0,
+      "step": 19
+    },
+    {
+      "epoch": 0.009770395701025891,
+      "grad_norm": 0.00020370143465697765,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 46.0,
+      "step": 20
+    },
+    {
+      "epoch": 0.010258915486077186,
+      "grad_norm": 0.0001907388650579378,
+      "learning_rate": 7e-05,
+      "loss": 46.0,
+      "step": 21
+    },
+    {
+      "epoch": 0.01074743527112848,
+      "grad_norm": 0.00018769825692288578,
+      "learning_rate": 7.333333333333333e-05,
+      "loss": 46.0,
+      "step": 22
+    },
+    {
+      "epoch": 0.011235955056179775,
+      "grad_norm": 0.00017153348017018288,
+      "learning_rate": 7.666666666666667e-05,
+      "loss": 46.0,
+      "step": 23
+    },
+    {
+      "epoch": 0.01172447484123107,
+      "grad_norm": 0.00022031365369912237,
+      "learning_rate": 8e-05,
+      "loss": 46.0,
+      "step": 24
+    },
+    {
+      "epoch": 0.012212994626282364,
+      "grad_norm": 0.0002413343609077856,
+      "learning_rate": 8.333333333333334e-05,
+      "loss": 46.0,
+      "step": 25
+    },
+    {
+      "epoch": 0.012701514411333659,
+      "grad_norm": 0.0002299462357768789,
+      "learning_rate": 8.666666666666667e-05,
+      "loss": 46.0,
+      "step": 26
+    },
+    {
+      "epoch": 0.013190034196384953,
+      "grad_norm": 0.0002480004623066634,
+      "learning_rate": 9e-05,
+      "loss": 46.0,
+      "step": 27
+    },
+    {
+      "epoch": 0.013678553981436248,
+      "grad_norm": 0.0002981836150866002,
+      "learning_rate": 9.333333333333334e-05,
+      "loss": 46.0,
+      "step": 28
+    },
+    {
+      "epoch": 0.014167073766487542,
+      "grad_norm": 0.0003038592985831201,
+      "learning_rate": 9.666666666666667e-05,
+      "loss": 46.0,
+      "step": 29
+    },
+    {
+      "epoch": 0.014655593551538837,
+      "grad_norm": 0.00028463880880735815,
+      "learning_rate": 0.0001,
+      "loss": 46.0,
+      "step": 30
+    },
+    {
+      "epoch": 0.015144113336590131,
+      "grad_norm": 0.00029816399910487235,
+      "learning_rate": 9.999146252290264e-05,
+      "loss": 46.0,
+      "step": 31
+    },
+    {
+      "epoch": 0.015632633121641426,
+      "grad_norm": 0.00033598695881664753,
+      "learning_rate": 9.996585300715116e-05,
+      "loss": 46.0,
+      "step": 32
+    },
+    {
+      "epoch": 0.01612115290669272,
+      "grad_norm": 0.0003494895063340664,
+      "learning_rate": 9.99231801983717e-05,
+      "loss": 46.0,
+      "step": 33
+    },
+    {
+      "epoch": 0.016609672691744015,
+      "grad_norm": 0.0003391339269001037,
+      "learning_rate": 9.986345866928941e-05,
+      "loss": 46.0,
+      "step": 34
+    },
+    {
+      "epoch": 0.01709819247679531,
+      "grad_norm": 0.0003875583643093705,
+      "learning_rate": 9.978670881475172e-05,
+      "loss": 46.0,
+      "step": 35
+    },
+    {
+      "epoch": 0.017586712261846604,
+      "grad_norm": 0.00042881048284471035,
+      "learning_rate": 9.96929568447637e-05,
+      "loss": 46.0,
+      "step": 36
+    },
+    {
+      "epoch": 0.0180752320468979,
+      "grad_norm": 0.0004535310436040163,
+      "learning_rate": 9.958223477553714e-05,
+      "loss": 46.0,
+      "step": 37
+    },
+    {
+      "epoch": 0.018563751831949193,
+      "grad_norm": 0.0004276837280485779,
+      "learning_rate": 9.94545804185573e-05,
+      "loss": 46.0,
+      "step": 38
+    },
+    {
+      "epoch": 0.019052271617000488,
+      "grad_norm": 0.0004478572809603065,
+      "learning_rate": 9.931003736767013e-05,
+      "loss": 46.0,
+      "step": 39
+    },
+    {
+      "epoch": 0.019540791402051783,
+      "grad_norm": 0.0004176196234766394,
+      "learning_rate": 9.91486549841951e-05,
+      "loss": 46.0,
+      "step": 40
+    },
+    {
+      "epoch": 0.020029311187103077,
+      "grad_norm": 0.0005269350949674845,
+      "learning_rate": 9.89704883800683e-05,
+      "loss": 46.0,
+      "step": 41
+    },
+    {
+      "epoch": 0.02051783097215437,
+      "grad_norm": 0.0005566150066442788,
+      "learning_rate": 9.877559839902184e-05,
+      "loss": 46.0,
+      "step": 42
+    },
+    {
+      "epoch": 0.021006350757205666,
+      "grad_norm": 0.0005373305757530034,
+      "learning_rate": 9.85640515958057e-05,
+      "loss": 46.0,
+      "step": 43
+    },
+    {
+      "epoch": 0.02149487054225696,
+      "grad_norm": 0.0006445915205404162,
+      "learning_rate": 9.833592021345937e-05,
+      "loss": 46.0,
+      "step": 44
+    },
+    {
+      "epoch": 0.021983390327308255,
+      "grad_norm": 0.0006316164508461952,
+      "learning_rate": 9.809128215864097e-05,
+      "loss": 46.0,
+      "step": 45
+    },
+    {
+      "epoch": 0.02247191011235955,
+      "grad_norm": 0.0006566172814927995,
+      "learning_rate": 9.783022097502204e-05,
+      "loss": 46.0,
+      "step": 46
+    },
+    {
+      "epoch": 0.022960429897410845,
+      "grad_norm": 0.000673891045153141,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 46.0,
+      "step": 47
+    },
+    {
+      "epoch": 0.02344894968246214,
+      "grad_norm": 0.0007460052729584277,
+      "learning_rate": 9.725919140804099e-05,
+      "loss": 46.0,
+      "step": 48
+    },
+    {
+      "epoch": 0.023937469467513434,
+      "grad_norm": 0.0008335084421560168,
+      "learning_rate": 9.694941803075283e-05,
+      "loss": 46.0,
+      "step": 49
+    },
+    {
+      "epoch": 0.024425989252564728,
+      "grad_norm": 0.0007683219737373292,
+      "learning_rate": 9.662361147021779e-05,
+      "loss": 46.0,
+      "step": 50
+    },
+    {
+      "epoch": 0.024425989252564728,
+      "eval_loss": 11.5,
+      "eval_runtime": 21.8811,
+      "eval_samples_per_second": 157.579,
+      "eval_steps_per_second": 78.79,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 8160209928192.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b7fdeae05dab1cf53a5f209692644d14819fb3a5c224dd3ab71568cad050cc3
+size 6840